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商品	説明	価格
Loco in Yokohama【電子書籍】[ Baye McNeil ] 楽天Kobo電子書籍ストア	＜p＞Knife-wielding school girls, scrotum-seeking school boys, back-stabbing bimbos with big boobs...and some of the finest human beings this side of the globe! Yokohama has it all and Loco has lived it and is telling the tale, no holds-barred! Loco in Yokohama is your front row seat to peer through a secret window into the hilarity and the hell that is living, loving and teaching in Japan. If you're looking for a raw, undiluted, unequivocal account of life in the land of the rising sun, you're looking for Loco!＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	550円
Solitary Moon Volume 1【電子書籍】[ Mei BaYe ] 楽天Kobo電子書籍ストア	＜p＞Love doesn't need trickery which can only be obtained from the heart.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	132円
Africa and its Historical and Contemporary Diasporas【電子書籍】[ Babacar M`Baye ] 楽天Kobo電子書籍ストア	＜p＞Africa and its Historical and Contemporary Diasporas edited by Tunde Adeleke and Arno Sonderegger is an interdisciplinary study of the changing and complex nature of the Africa-Black Diaspora relationship. The contributors highlight the problems and challenges of this relationship and provide strategies for developing a more functional and mutually beneficial engagement in a radically changing global environment. This book presents new methodological approaches and research to study the many dimensions and complexities of Africa and its Diasporas. Collectively, this book addresses three vital themes. First, it foregrounds new and emerging forces reshaping the Africa-Black Diaspora nexus. Second, it highlights new and interdisciplinary approaches to “Diaspora” and “Pan-Africanism” (culture, religion, ideology, literature, philosophy, and epistemology). Third, it examines factors infusing the transformation in, and challenges of, African Diaspora and Pan-Africanist collaborations, and possible strategies of strengthening the relationship.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	6,302円
The Sweet Surprise【電子書籍】[ Aisha Baye ] 楽天Kobo電子書籍ストア	＜p＞Tabitha wants to order a cake, but not just any cake. When she walks into the bakery with a special request in mind, she meets the handsome baker and her world is suddenly changed.＜/p＞＜p＞Harlan is kind, handsome, and intrigued by the pretty woman's request to make a cake on her own. Initially, he's hesitant, but Tabitha is persistent.＜/p＞＜p＞Soon, it becomes apparent Tabitha needs some help. When he offers his help, sparks fly. What begins as idle chit-chat where they learn of common interests and steal glances at each other, soon leaves Harlan contemplating whether their innocent flirtations and shy smiles could be the beginning of something more or if he should keep things professional between them.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	450円
Desperate Upload A Short Story【電子書籍】[ B.J. Baye ] 楽天Kobo電子書籍ストア	＜p＞(Note: This is a short story.)＜/p＞＜p＞A young boy is all that stands between a commando team from Mars and a deadly attack on Earth's orbital station.＜/p＞＜p＞Jon Whyte is a kid born and raised on his family's freighter Stardream as it carries cargo all over the solar system. On a yearly return to Earth Station, the Stardream is intercepted by a commando team of marines from Mars, who are ready to strike the first blow against Earth in a war of independence.＜/p＞＜p＞BONUS STORY: Four Minutes＜/p＞＜p＞A young single mother finds herself the target of the Men in Black.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	320円
She Wished She Could A Christian Book Series【電子書籍】[ Shardae' Baye ] 楽天Kobo電子書籍ストア	＜p＞She Wished She Could is a book about a little girl named Shareeta who is struggling with homelessness, and she uses her imagination and faith in God to break free from her troubles. Shareeta gets blessed, and God opens up a door for her and her mother to accomplish their dreams. This Christian book series will inspire children to put all their trust in Jesus and to never give up, because with Christ, the possibilities are endless.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	452円
Betrayal Without Justice【電子書籍】[ Victoria Baye ] 楽天Kobo電子書籍ストア	＜p＞Jim OBrien lived a hard life. He had to bury his father, his mother, his step-mother, his two sisters his 2 brothers and his one brother, Bob, goes missing and was presumed to be dead. Bob comes back from the dead 30 years later, a millionaire. About 15 years later he was found dead in his penthouse. No investigation was ever done. At his funeral, there was a closed coffin. Questions upon questions were asked by his next of kin. His nieces; who were minors; and their mom; sick, and was unable to help. Cousin Sal was there to help Betsy and the girls. What is the true story behind this? Who was he really helping? What really happened? Not a picture to remember him by. Nothing! Sal and his family spoke the good word, but did they do the devils deed? Was it a conspiracy to cover up millions of dollars? Leaving the next of kin without anything, just questions that led to more questions, without answers. Read what the family discovered about Uncle Bobs money, which led to the final question... What really happened to Uncle Bob? You be the judge.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	468円
Black Cosmopolitanism and Anticolonialism Pivotal Moments【電子書籍】[ Babacar M'Baye ] 楽天Kobo電子書籍ストア	＜p＞This book examines the cosmopolitanism and anticolonialism that black intellectuals, such as the African American W.E.B. Du Bois, the Caribbeans Marcus Garvey and George Padmore, and the Francophone West Africans (Kojo Touvalou-Hou?nou, Lamine Senghor, and L?opold S?dar Senghor) developed during the two world wars by fighting for freedom, equality, and justice for Senegalese and other West African colonial soldiers (known as ＜em＞tirailleurs＜/em＞) who made enormous sacrifices to liberate France from German oppression.＜/p＞＜p＞Focusing on the solidarity between this special group of African American, Caribbean, and Francophone West African intellectuals against French colonialism, this book uncovers pivotal moments of black Anglophone and Francophone cosmopolitanism and traces them to published and archived writings produced between 1914 and the middle of the twentieth century.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	9,306円
【予約TOP03】【国内未発売】Topps バイエルン・ミュンヘン 23-24 ファンカードセット【トレーディングカード/サッカー/Bayern Munchen/ブンデスリーガ/ケイン/サネ】 ECムンディアル	こちらは予約商品です！ ※ご予約受付後、約1ヶ月-2ヶ月でお届け予定 ■商品説明 TOPPSの23-24シーズンのバイエルンミュンヘンのファンカードセットになります。 23-24シーズンの主要選手はもちろんクローゼやマテウスなどのレジェンド選手もカード化！直筆サインカードも出現！（オッズ不明） First Team(ベースカード) 20種類 Golden Treasure One of One 20種類 Heroes 12種類 Super Electric 5種類 Golden Future 3種類直筆サインカード 10種類 ※直筆サインカードの出現オッズ不明です。 ■商品仕様 1箱 28枚入（パラレルカード2枚入） ※1箱では全て揃いません。 ■必ずご確認ください通常商品とご一緒のご発送はできません。ご予約の場合【予約TOP03】の付いている商品は同時購入可能です。画像は実際の商品と多少異なる場合ございます。 ※ご予約後のキャンセルはできません。 ※ご予約受付後、海外メーカー在庫完売のためご用意できない場合もございます。	7,700円
[楽譜] 吹奏楽セレクション楽譜　シンクロ　BOM BA YE　参考音源CD付【10,000円以上送料無料】(スイソウガクフセレクションシンクロボンバイエ) ロケットミュージック楽譜EXPRESS	ジャンル：国内吹奏楽出版社：ウィンズスコア弊社に在庫がない場合の取り寄せ発送目安：3日〜4日解説：★TVドラマ版「ウォーターボーイズ」のオープニング等で使われていた、メインテーマ「シンクロBOM-BA-YE」をブラスロックで！★　映画、二度の連続ドラマで、男子高校生がシンクロに打ち込みながら成長していく姿を爽やかに描き、清々しい感動を呼び、日本中にシンクロブームを巻き起こした「ウォーターボーイズ」シリーズ。そのドラマ版のオープニング等で使われていた、メインテーマ『シンクロBOM-BA-YE』を吹奏楽で！特徴的な手拍子をバックに、雄大なメロディーが流れます。収録曲：吹奏楽セレクション楽譜　シンクロ　BOM−BA−YE　参考音源CD付...こちらの商品は他店舗同時販売しているため在庫数は変動する場合がございます。9,091円以上お買い上げで送料無料です。	4,950円
Bayesian Probability for Babies BAYESIAN PROBABILITY FOR BABIE [ Chris Ferrie ] 楽天ブックス	BAYESIAN PROBABILITY FOR BABIE Chris Ferrie SOURCEBOOKS JABBERWOCKY2019 Board　Books English ISBN：9781492680796 洋書 Books for kids（児童書） Juvenile Nonfiction	1,584円
A Student’s Guide to Bayesian Statistics【電子書籍】[ Ben Lambert ] 楽天Kobo電子書籍ストア	＜p＞Supported by a wealth of learning features, exercises, and visual elements as well as online video tutorials and interactive simulations, this book is the first student-focused introduction to Bayesian statistics.＜/p＞＜p＞Without sacrificing technical integrity for the sake of simplicity, the author draws upon accessible, student-friendly language to provide approachable instruction perfectly aimed at statistics and Bayesian newcomers. Through a logical structure that introduces and builds upon key concepts in a gradual way and slowly acclimatizes students to using R and Stan software, the book covers:＜/p＞＜ul＞＜li＞An introduction to probability and Bayesian inference＜/li＞＜li＞Understanding Bayes′ rule＜/li＞＜li＞Nuts and bolts of Bayesian analytic methods＜/li＞＜li＞Computational Bayes and real-world Bayesian analysis＜/li＞＜li＞Regression analysis and hierarchical methods＜/li＞＜/ul＞＜p＞This unique guide will help students develop the statistical confidence and skills to put the Bayesian formula into practice, from the basic concepts of statistical inference to complex applications of analyses.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	6,356円
Statistical Rethinking A Bayesian Course with Examples in R and STAN【電子書籍】[ Richard McElreath ] 楽天Kobo電子書籍ストア	＜p＞Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data. Reflecting the need for scripting in today's model-based statistics, the book pushes you to perform step-by-step calculations that are usually automated. This unique computational approach ensures that you understand enough of the details to make reasonable choices and interpretations in your own modeling work.＜/p＞＜p＞The text presents causal inference and generalized linear multilevel models from a simple Bayesian perspective that builds on information theory and maximum entropy. The core material ranges from the basics of regression to advanced multilevel models. It also presents measurement error, missing data, and Gaussian process models for spatial and phylogenetic confounding.＜/p＞＜p＞The second edition emphasizes the directed acyclic graph (DAG) approach to causal inference, integrating DAGs into many examples. The new edition also contains new material on the design of prior distributions, splines, ordered categorical predictors, social relations models, cross-validation, importance sampling, instrumental variables, and Hamiltonian Monte Carlo. It ends with an entirely new chapter that goes beyond generalized linear modeling, showing how domain-specific scientific models can be built into statistical analyses.＜/p＞＜p＞Features＜/p＞＜ul＞＜li＞＜/li＞＜li＞Integrates working code into the main text＜/li＞＜li＞＜/li＞＜li＞Illustrates concepts through worked data analysis examples＜/li＞＜li＞＜/li＞＜li＞Emphasizes understanding assumptions and how assumptions are reflected in code＜/li＞＜li＞＜/li＞＜li＞Offers more detailed explanations of the mathematics in optional sections＜/li＞＜li＞＜/li＞＜li＞Presents examples of using the dagitty R package to analyze causal graphs＜/li＞＜li＞＜/li＞＜li＞Provides the rethinking R package on the author's website and on GitHub＜/li＞＜/ul＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	13,353円
【中古】 Think　Bayes プログラマのためのベイズ統計入門／Allen　B　Downey(著者),黒川利明(訳者) ブックオフ楽天市場店	Allen　B　Downey(著者),黒川利明(訳者)販売会社/発売会社：オーム社発売年月日：2014/09/09JAN：9784873116945	1,270円
Bayesian Nonparametrics for Causal Inference and Missing Data【電子書籍】[ Michael J. Daniels ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Bayesian Nonparametrics for Causal Inference and Missing Data＜/strong＞ provides an overview of flexible Bayesian nonparametric (BNP) methods for modeling joint or conditional distributions and functional relationships, and their interplay with causal inference and missing data. This book emphasizes the importance of making untestable assumptions to identify estimands of interest, such as missing at random assumption for missing data and unconfoundedness for causal inference in observational studies. Unlike parametric methods, the BNP approach can account for possible violations of assumptions and minimize concerns about model misspecification. The overall strategy is to first specify BNP models for observed data and then to specify additional uncheckable assumptions to identify estimands of interest.＜/p＞＜p＞The book is divided into three parts. ＜strong＞Part I＜/strong＞ develops the key concepts in causal inference and missing data and reviews relevant concepts in Bayesian inference. ＜strong＞Part II＜/strong＞ introduces the fundamental BNP tools required to address causal inference and missing data problems. ＜strong＞Part III＜/strong＞ shows how the BNP approach can be applied in a variety of case studies. The datasets in the case studies come from electronic health records data, survey data, cohort studies, and randomized clinical trials.＜/p＞＜p＞Features＜/p＞＜p＞? Thorough discussion of both BNP and its interplay with causal inference and missing data＜/p＞＜p＞? How to use BNP and g-computation for causal inference and non-ignorable missingness＜/p＞＜p＞? How to derive and calibrate sensitivity parameters to assess sensitivity to deviations from uncheckable causal and/or missingness assumptions＜/p＞＜p＞? Detailed case studies illustrating the application of BNP methods to causal inference and missing data＜/p＞＜p＞? R code and/or packages to implement BNP in causal inference and missing data problems＜/p＞＜p＞The book is primarily aimed at researchers and graduate students from statistics and biostatistics. It will also serve as a useful practical reference for mathematically sophisticated epidemiologists and medical researchers.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	8,945円
Think　Bayes プログラマのためのベイズ統計入門 [ アレン・B．ダウニー ] 楽天ブックス	プログラマのためのベイズ統計入門アレン・B．ダウニー黒川利明オライリー・ジャパンオーム社シンクベイズダウニー,アレン・B. クロカワ,トシアキ発行年月：2014年09月ページ数：213p サイズ：単行本 ISBN：9784873116945 ダウニー，アレン・B．（Downey,Allen B.）（ダウニー，アレンB．）米国オーリン大学コンピュータサイエンス学科教授。カリフォルニア大学バークレーでコンピュータサイエンスの博士号を取得。Wellesley　College、Colby　College、カリフォルニア大学バークレーでコンピュータサイエンスを教えてきた黒川利明（クロカワトシアキ） 1972年、東京大学教養学部基礎科学科卒。東芝（株）、新世代コンピュータ技術開発機構、日本IBM、（株）CSK（現SCSK（株））、金沢工業大学を経て、2013年よりデザイン思考教育研究所主宰。文部科学省科学技術政策研究所客員研究官、情報規格調査会SC22C＃、CLI、スクリプト系言語SG主査。ジェネクサスジャパン（株）技術顧問。ICES創立メンバー、画像電子学会理事、国際標準化教育研究会委員長など。「こどもと未来とデザインと」運営メンバー、「若手とシニアの架け橋の会」創立メンバー（本データはこの書籍が刊行された当時に掲載されていたものです） 1章　ベイズの定理／2章　計算統計学／3章　推定／4章　もっと推定を／5章　オッズと加数／6章　決定分析／7章　予測／8章　観察者バイアス／9章　2次元／10章　ベイズ計算を近似する／11章　仮説検定／12章　証拠／13章　シミュレーション／14章　階層的モデル／15章　次元を扱うサンプルコードを動かして統計の直観的な理解を促した『Think　Statsープログラマのための統計入門』の著者によるベイズ統計・ベイス推論の解説書。数学的な観点での記述は最小限にとどめ、実例を多く使って実用的観点からベイズ手法を解説。Pythonで書かれたサンプルコードを使って実際に手を動かしながらベイズ統計を学ぶことができる。本科学・技術数学	2,640円
Understanding Computational Bayesian Statistics【電子書籍】[ William M. Bolstad ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞A hands-on introduction to computational statistics＜/strong＞＜strong＞from a Bayesian point of view＜/strong＞＜/p＞＜p＞Providing a solid grounding in statistics while uniquely covering the topics from a Bayesian perspective, ＜em＞Understanding Computational Bayesian Statistics＜/em＞ successfully guides readers through this new, cutting-edge approach. With its hands-on treatment of the topic, the book shows how samples can be drawn from the posterior distribution when the formula giving its shape is all that is known, and how Bayesian inferences can be based on these samples from the posterior. These ideas are illustrated on common statistical models, including the multiple linear regression model, the hierarchical mean model, the logistic regression model, and the proportional hazards model.＜/p＞＜p＞The book begins with an outline of the similarities and differences between Bayesian and the likelihood approaches to statistics. Subsequent chapters present key techniques for using computer software to draw Monte Carlo samples from the incompletely known posterior distribution and performing the Bayesian inference calculated from these samples. Topics of coverage include:＜/p＞＜ul＞＜li＞Direct ways to draw a random sample from the posterior by reshaping a random sample drawn from an easily sampled starting distribution＜/li＞＜li＞The distributions from the one-dimensional exponential family＜/li＞＜li＞Markov chains and their long-run behavior＜/li＞＜li＞The Metropolis-Hastings algorithm＜/li＞＜li＞Gibbs sampling algorithm and methods for speeding up convergence＜/li＞＜li＞Markov chain Monte Carlo sampling＜/li＞＜/ul＞＜p＞Using numerous graphs and diagrams, the author emphasizes a step-by-step approach to computational Bayesian statistics. At each step, important aspects of application are detailed, such as how to choose a prior for logistic regression model, the Poisson regression model, and the proportional hazards model. A related Web site houses R functions and Minitab macros for Bayesian analysis and Monte Carlo simulations, and detailed appendices in the book guide readers through the use of these software packages.＜/p＞＜p＞＜em＞Understanding Computational Bayesian Statistics＜/em＞ is an excellent book for courses on computational statistics at the upper-level undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners who use computer programs to conduct statistical analyses of data and solve problems in their everyday work.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	18,697円
Harry potter and love stories from one potterhead harry potter themed love stories【電子書籍】[ nurlana babayeva ] 楽天Kobo電子書籍ストア	＜p＞fictional harry potter stories from a potterhead＜/p＞＜p＞i am a harry potter fan and i am a novice writer＜/p＞＜p＞I wrote a dramatic harry potter story in this story and you will see different positions harry potter characters in this story and i added a lot of new characters＜/p＞＜p＞as an example luna and hermione and ginny are sister.Hermione and Ron are about to get married, but Draco Malfoy prevents them from getting married and marries Hermione. they fight for their love.＜/p＞＜p＞Amelia Granger is the mother of hermione and ginny and luna.But she there is a secret she hides from everyone, her ex-husband is max darkness.max darkness is a psychopath, to is madly obsessed with him.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	400円
Quantum Mechanics and Bayesian Machines【電子書籍】[ George Chapline ] 楽天Kobo電子書籍ストア	＜p＞This compendium brings together the fields of Quantum Computing, Machine Learning, and Neuromorphic Computing. It provides an elementary introduction for students and researchers interested in quantum or neuromorphic computing to the basics of machine learning and the possibilities for using quantum devices for pattern recognition and Bayesian decision tree problems. The volume also highlights some possibly new insights into the meaning of quantum mechanics, for example, why a description of Nature requires probabilistic rather than deterministic methods.＜/p＞＜p＞＜strong＞Contents:＜/strong＞＜/p＞＜ul＞＜li＞＜p＞Preface＜/p＞＜/li＞＜li＞＜p＞About the Author＜/p＞＜/li＞＜li＞＜p＞Acknowledgments＜/p＞＜/li＞＜li＞＜p＞Introduction＜/p＞＜/li＞＜li＞＜p＞＜em＞＜strong＞Six Fundamental Discoveries:＜/strong＞＜/em＞＜/p＞＜ul＞＜li＞Bayes's Probability Formula＜/li＞＜li＞The Wiener and Kalman?Bucy Filters＜/li＞＜li＞Bellman's Dynamic Programming Approach to Optimal Control＜/li＞＜li＞Feynman's Path Integral Approach to Quantum Mechanics＜/li＞＜li＞Quantum Solution of the Traveling Salesman Problem (TSP)＜/li＞＜/ul＞＜/li＞＜li＞＜p＞＜em＞＜strong＞Ockham's Razor:＜/strong＞＜/em＞＜/p＞＜ul＞＜li＞Bayesian Searches＜/li＞＜li＞A Tale of Two Costs＜/li＞＜li＞Hidden Factors and the Helmholtz Machine＜/li＞＜/ul＞＜/li＞＜li＞＜p＞＜em＞＜strong＞Control Theory:＜/strong＞＜/em＞＜/p＞＜ul＞＜li＞The Hamilton?Jacobi?Bellman Equation＜/li＞＜li＞Pontryagin Maximum Principle＜/li＞＜li＞Lie?Poisson Dynamics＜/li＞＜li＞＜em＞H＜/em＞∞ Control＜/li＞＜/ul＞＜/li＞＜li＞＜p＞＜em＞＜strong＞Integrable Systems:＜/strong＞＜/em＞＜/p＞＜ul＞＜li＞RH Solution of the Airy Equation＜/li＞＜li＞The KdV Equation＜/li＞＜li＞Segal?Wilson Construction＜/li＞＜li＞The NLS Equation＜/li＞＜li＞Galois Remembered＜/li＞＜/ul＞＜/li＞＜li＞＜p＞＜em＞＜strong＞Quantum Tools:＜/strong＞＜/em＞＜/p＞＜ul＞＜li＞Weyl Remembered＜/li＞＜li＞Helstrom's Theorem and Universal Hilbert Spaces＜/li＞＜li＞Measurement-based Quantum Computation＜/li＞＜/ul＞＜/li＞＜li＞＜p＞＜em＞＜strong＞Quantum Self-organization:＜/strong＞＜/em＞＜/p＞＜ul＞＜li＞Pontryagin Control and Quantum Criticality＜/li＞＜li＞Quantum Theory of Innovations＜/li＞＜li＞Quantum Helmholtz Machine＜/li＞＜li＞Ad Mammalian Intelligence＜/li＞＜/ul＞＜/li＞＜li＞＜p＞＜em＞＜strong＞Holistic Computing:＜/strong＞＜/em＞＜/p＞＜ul＞＜li＞Quantum Mechanics and 3D Geometry＜/li＞＜li＞Cognitive Science and Quantum Physics＜/li＞＜/ul＞＜/li＞＜li＞＜p＞＜em＞＜strong＞Appendices:＜/strong＞＜/em＞＜/p＞＜ul＞＜li＞Gaussian Processes＜/li＞＜li＞Wiener?Hopf Methods＜/li＞＜li＞Riemann Surfaces＜/li＞＜li＞The Eightfold Way＜/li＞＜li＞Quantum Theory of Brownian Motion＜/li＞＜/ul＞＜/li＞＜li＞＜p＞References＜/p＞＜/li＞＜li＞＜p＞Index＜/p＞＜/li＞＜/ul＞＜p＞＜strong＞Readership:＜/strong＞ Researchers, academics, professionals and graduate students in pattern recognition/image analysis, machine learning, quantum mechanics and general applied maths.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	7,037円
Bayesian Statistical Modeling with Stan, R, and Python【電子書籍】[ Kentaro Matsuura ] 楽天Kobo電子書籍ストア	＜p＞This book provides a highly practical introduction to Bayesian statistical modeling with Stan, which has become the most popular probabilistic programming language.＜/p＞＜p＞The book is divided into four parts. The first part reviews the theoretical background of modeling and Bayesian inference and presents a modeling workflow that makes modeling more engineering than art. The second part discusses the use of Stan, CmdStanR, and CmdStanPy from the very beginning to basic regression analyses. The third part then introduces a number of probability distributions, nonlinear models, and hierarchical (multilevel) models, which are essential to mastering statistical modeling. It also describes a wide range of frequently used modeling techniques, such as censoring, outliers, missing data, speed-up, and parameter constraints, and discusses how to lead convergence of MCMC. Lastly, the fourth part examines advanced topics for real-world data: longitudinal data analysis, state space models, spatial data analysis, Gaussian processes, Bayesian optimization, dimensionality reduction, model selection, and information criteria, demonstrating that Stan can solve any one of these problems in as little as 30 lines.＜/p＞＜p＞Using numerous easy-to-understand examples, the book explains key concepts, which continue to be useful when using future versions of Stan and when using other statistical modeling tools. The examples do not require domain knowledge and can be generalized to many fields. The book presents full explanations of code and math formulas, enabling readers to extend models for their own problems. All the code and data are on GitHub.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	17,016円
『阿毘達磨集論』の伝承インドからチベットへ、そして過去から未来へ／高橋晃一／根本裕史／AchimBayer【1000円以上送料無料】 bookfan 2号店楽天市場店	著者高橋晃一(編) 根本裕史(編) AchimBayer(執筆)出版社文学通信発売日2021年03月ISBN9784909658517ページ数161Pキーワードあびだつまじゆうろんのでんしよういんどからちべつとアビダツマジユウロンノデンシヨウインドカラチベツトたかはしこういちねもとひタカハシコウイチネモトヒ9784909658517内容紹介本書が取り上げるのは5世紀ごろにインドの学僧アサンガによって書かれた仏教の哲学文献、『阿毘達磨集論』である。もともとサンスクリット語によって書かれたこの文献のほとんどは長いあいだ散逸し、断片が残っているに過ぎない状況であったが、近年の写本発見などにより、資料の全貌が明らかになりつつある。新たに発見された資料、そしてそれにもとづいて復元された原典はなにを物語るのか。インドからチベットへ、そして過去から現在に至るまでそれはいかに伝承されてきたのか。最新の研究成果にもとづき、『阿毘達磨集論』の原典・翻訳・註釈について多角的に論じる。執筆は、高橋晃一、根本裕史、Achim Bayer、彭毛才旦、李学竹、崔境眞。【これまで、『阿毘達磨集論』の原典は、半分以上が散逸した断片的な写本が残っているに過ぎなかった。サンスクリット語で書かれた注釈は完本で残っていたが、『阿毘達磨集論』本文全体を再構成し得る資料ではなかった。しかし、近年になって、新たな写本が見つかり、『阿毘達磨集論』のほぼ全体の原典が復元可能になった。[…]また、やはり近年になって発見され、刊行された『カダム全書』の中に、『阿毘達磨集論』のチベット語訳に対してチベット人が書いた注釈が多く残っていることが分かった。［…］『阿毘達磨集論』の写本研究、原典読解、思想研究の最先端の成果を紹介しつつ、今後の研究の展望を示すのが本書の目的である。】「序にかえて」より※本データはこの商品が発売された時点の情報です。目次1 『阿毘達磨集論』における「アビダルマ」とは何か？—『カダム全書』所収資料を手掛かりに/2 Hidden Intentions（abhisamdhi）in the Abhidharmasamuccaya and Other Yog〓c〓ra Treatises/3 ションヌ・チャンチュプ『阿毘達磨集論』註釈の思想史上の位置づけ/4 『阿毘達磨集論』の梵文写本について/5 チベット撰述注釈書の構造化記述について—チョムデン・リクレル著『阿毘達磨集論釈・荘厳華』に対して/6 チベット仏教文献研究の覚書—源流・内在・幻出	2,640円
Bayesian Statistics the Fun Way Understanding Statistics and Probability with Star Wars, LEGO, and Rubber Ducks【電子書籍】[ Will Kurt ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Fun guide to learning Bayesian statistics and probability through unusual and illustrative examples.＜/strong＞＜/p＞＜p＞Probability and statistics are increasingly important in a huge range of professions. But many people use data in ways they don't even understand, meaning they aren't getting the most from it. ＜em＞Bayesian Statistics the Fun Way＜/em＞ will change that.＜/p＞＜p＞This book will give you a complete understanding of Bayesian statistics through simple explanations and un-boring examples. Find out the probability of UFOs landing in your garden, how likely Han Solo is to survive a flight through an asteroid shower, how to win an argument about conspiracy theories, and whether a burglary really was a burglary, to name a few examples.＜/p＞＜p＞By using these off-the-beaten-track examples, the author actually makes learning statistics fun. And you'll learn real skills, like how to:＜/p＞＜p＞- How to measure your own level of uncertainty in a conclusion or belief＜br /＞ - Calculate Bayes theorem and understand what it's useful for＜br /＞ - Find the posterior, likelihood, and prior to check the accuracy of your conclusions＜br /＞ - Calculate distributions to see the range of your data＜br /＞ - Compare hypotheses and draw reliable conclusions from them＜/p＞＜p＞Next time you find yourself with a sheaf of survey results and no idea what to do with them, turn to ＜em＞Bayesian Statistics the Fun Way＜/em＞ to get the most value from your data.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,417円
A My Name Is Alice A MY NAME IS ALICE （Picture Puffin Books） [ Jane E. Bayer ] 楽天ブックス	A MY NAME IS ALICE Picture Puffin Books Jane E. Bayer Steven Kellogg DIAL1992 Paperback English ISBN：9780140546682 洋書 Books for kids（児童書） Juvenile Nonfiction	1,425円
Decoding the Bayeux Tapestry The Secrets of History's Most Famous Embroidery Hidden in Plain Sight【電子書籍】[ Arthur Colin Wright ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞For the first time, a scholar reveals the meaning of the marginal images on the Bayeux Tapestry, unlocking a completely new meaning of the work.＜/strong＞＜/p＞＜p＞The story of the Norman Conquest and the Battle of Hastings as shown in the Bayeux Tapestry is arguably the most widely-known in the panoply of English history, and over the last 200 years there have been hundreds of books on the Tapestry seeking to analyze its meanings. Yet, there is one aspect of the embroidery that has been virtually ignored or dismissed as unimportant by historiansーthe details in the margins.＜/p＞＜p＞The fables shown in the margins are neither just part of a decorative ribbon, nor are they discontinuous. They follow on in sequence. When this is understood, it becomes clear that they must relate to the action shown on the body of the Tapestry. After careful examination, the purpose of these images is to amplify, elaborate, or explain the main story.＜/p＞＜p＞In this groundbreaking study, Arthur Wright reveals the significance of the images in the margins. Now it is possible to see the “whole” story as never before, enabling a more complete picture of the Bayeux Tapestry to be constructed. Wright reexamines many of the scenes in the main body of the work, showing that a number of the basic assumptions, so often taught as facts, have been based on nothing more than reasoned conjecture.＜/p＞＜p＞It might be thought that after so much has been written about the Bayeux Tapestry there was nothing more to be said, but ＜em＞Decoding the Bayeux Tapestry＜/em＞ shows how much there is still to be learned.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	1,584円
Bayesian Statistical Methods【電子書籍】[ Brian J. Reich ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Bayesian Statistical Methods＜/strong＞ provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. This book focuses on Bayesian methods applied routinely in practice including multiple linear regression, mixed effects models and generalized linear models (GLM). The authors include many examples with complete R code and comparisons with analogous frequentist procedures.＜/p＞＜p＞In addition to the basic concepts of Bayesian inferential methods, the book covers many general topics:＜/p＞＜ul＞＜li＞＜/li＞＜li＞Advice on selecting prior distributions＜/li＞＜li＞＜/li＞＜li＞Computational methods including Markov chain Monte Carlo (MCMC)＜/li＞＜li＞＜/li＞＜li＞Model-comparison and goodness-of-fit measures, including sensitivity to priors＜/li＞＜li＞＜/li＞＜li＞Frequentist properties of Bayesian methods＜/li＞＜/ul＞＜p＞Case studies covering advanced topics illustrate the flexibility of the Bayesian approach:＜/p＞＜ul＞＜li＞＜/li＞＜li＞Semiparametric regression＜/li＞＜li＞＜/li＞＜li＞Handling of missing data using predictive distributions＜/li＞＜li＞＜/li＞＜li＞Priors for high-dimensional regression models＜/li＞＜li＞＜/li＞＜li＞Computational techniques for large datasets＜/li＞＜li＞＜/li＞＜li＞Spatial data analysis＜/li＞＜/ul＞＜p＞The advanced topics are presented with sufficient conceptual depth that the reader will be able to carry out such analysis and argue the relative merits of Bayesian and classical methods. A repository of R code, motivating data sets, and complete data analyses are available on the book’s website.＜/p＞＜p＞Brian J. Reich, Associate Professor of Statistics at North Carolina State University, is currently the editor-in-chief of the ＜em＞Journal of Agricultural, Biological, and Environmental Statistics＜/em＞ and was awarded the LeRoy & Elva Martin Teaching Award.＜/p＞＜p＞Sujit K. Ghosh, Professor of Statistics at North Carolina State University, has over 22 years of research and teaching experience in conducting Bayesian analyses, received the Cavell Brownie mentoring award, and served as the Deputy Director at the Statistical and Applied Mathematical Sciences Institute.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	7,338円
Bayesian Models of Perception and Action An Introduction【電子書籍】[ Wei Ji Ma ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞An accessible introduction to constructing and interpreting Bayesian models of perceptual decision-making and action.＜/strong＞＜/p＞＜p＞Many forms of perception and action can be mathematically modeled as probabilisticーor Bayesianーinference, a method used to draw conclusions from uncertain evidence. According to these models, the human mind behaves like a capable data scientist or crime scene investigator when dealing with noisy and ambiguous data. This textbook provides an approachable introduction to constructing and reasoning with probabilistic models of perceptual decision-making and action. Featuring extensive examples and illustrations, ＜em＞Bayesian Models of Perception and Action＜/em＞ is the first textbook to teach this widely used computational framework to beginners.＜/p＞＜ul＞＜li＞Introduces Bayesian models of perception and action, which are central to cognitive science and neuroscience＜/li＞＜li＞Beginner-friendly pedagogy includes intuitive examples, daily life illustrations, and gradual progression of complex concepts＜/li＞＜li＞Broad appeal for students across psychology, neuroscience, cognitive science, linguistics, and mathematics＜/li＞＜li＞Written by leaders in the field of computational approaches to mind and brain＜/li＞＜/ul＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	6,942円
Bayesian Scientific Computing【電子書籍】[ Daniela Calvetti ] 楽天Kobo電子書籍ストア	＜p＞The once esoteric idea of embedding scientific computing into a probabilistic framework, mostly along the lines of the Bayesian paradigm, has recently enjoyed wide popularity and found its way into numerous applications. This book provides an insider’s view of how to combine two mature fields, scientific computing and Bayesian inference, into a powerful language leveraging the capabilities of both components for computational efficiency, high resolution power and uncertainty quantification ability. The impact of Bayesian scientific computing has been particularly significant in the area of computational inverse problems where the data are often scarce or of low quality, but some characteristics of the unknown solution may be available a priori. The ability to combine the flexibility of the Bayesian probabilistic framework with efficient numerical methods has contributed to the popularity of Bayesian inversion, with the prior distribution being the counterpart of classical regularization. However, the interplay between Bayesian inference and numerical analysis is much richer than providing an alternative way to regularize inverse problems, as demonstrated by the discussion of time dependent problems, iterative methods, and sparsity promoting priors in this book. The quantification of uncertainty in computed solutions and model predictions is another area where Bayesian scientific computing plays a critical role. This book demonstrates that Bayesian inference and scientific computing have much more in common than what one may expect, and gradually builds a natural interface between these two areas.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	15,800円
Rと事例で学ぶベイジアンネットワーク / 原タイトル:Bayesian Networks 原著第2版の翻訳[本/雑誌] / MarcoScutari/著 Jean‐BaptisteDenis/著金明哲/監訳財津亘/訳ネオウィング楽天市場店	ご注文前に必ずご確認ください＜商品説明＞＜収録内容＞1 離散型データ事例:多項ベイジアンネットワーク2 連続型データ事例:ガウシアン・ベイジアンネットワーク3 混合(離散・連続型)事例:条件付きガウシアン・ベイジアンネットワーク4 時系列データ:ダイナミック・ベイジアンネットワーク5 より複雑な事例:汎用ベイジアンネットワーク6 ベイジアンネットワークの理論とアルゴリズム7 ベイジアンネットワークのためのソフトウェア8 実社会におけるベイジアンネットワークの応用付録A グラフ理論付録B 確率分布付録C ベイジアンネットワークの覚書き＜商品詳細＞商品番号：NEOBK-2725163MarcoScutari / Cho Jean BaptisteDenis / Cho Kin Meitetsu / Kanyaku Zaitsu Wataru / Yaku / R to Jirei De Manabu Bayesian Network / Hara Title : Bayesian Networks Gencho Dai2 Han No Honyakuメディア：本/雑誌重量：580g発売日：2022/04JAN：9784320114654Rと事例で学ぶベイジアンネットワーク / 原タイトル:Bayesian Networks 原著第2版の翻訳[本/雑誌] / MarcoScutari/著 Jean‐BaptisteDenis/著金明哲/監訳財津亘/訳2022/04発売	4,400円
Peregrine【電子書籍】[ William Bayer ] 楽天Kobo電子書籍ストア	＜p＞This novel won the Mystery Writers of American Edgar Award for Best Novel. Circling high over Rockefeller Center is a peregrine falcon, the most awesome of the flying predators. She awaits a signal from her falconer. It is given: the bird attacks, plummeting from the sky at nearly 200 miles an hour, striking a young woman and killing her instantly. By chance, newscaster Pamela Barrett witnesses the slaying. Her impassioned account of it on television that evening thrills the falconer ー a brilliant madman who identifies with his deadly bird and, through her, seeks catharsis. He becomes fascinated with Pam and enmeshes her in a bizarre and deadly scheme even as she finds herself drawn to him by an erotic need she does not understand. As killing follows killing, the terrified city beomes the backdrop of an extraordinary drama. Police and the media engage in cutthroat competition to find the murderer. Two predator birds are pitted in a fight to the death above Central Park. Call girls, rich eccentrics, striving careerists, dealers in the black market for rare birds ー all play their roles in this study of secret passion, desire, fulfillment, and ecstasy. The ancient sport of falconry, in which birds are trained to hunt and kill on command, is the key to the spectacular operatic finale. For all its excitement and intricate detail, PEREGRINE is more than a thriller: it is a study of secret passion desire, fulfillment, ecstasy. In the falconer, in Pam his prey, and in the burnt-out detective who finds in this case a means to his salvation, author WILLIAM BAYER has created vibrant characters each of whom is both hunter and hunted, each of whom fulfills the others in extraordinary ways.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	532円
Machine Learning A Bayesian and Optimization Perspective【電子書籍】[ Sergios Theodoridis ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Machine Learning: A Bayesian and Optimization Perspective, 2nd edition＜/strong＞, gives a unified perspective on machine learning by covering both pillars of supervised learning, namely regression and classification. The book starts with the basics, including mean square, least squares and maximum likelihood methods, ridge regression, Bayesian decision theory classification, logistic regression, and decision trees. It then progresses to more recent techniques, covering sparse modelling methods, learning in reproducing kernel Hilbert spaces and support vector machines, Bayesian inference with a focus on the EM algorithm and its approximate inference variational versions, Monte Carlo methods, probabilistic graphical models focusing on Bayesian networks, hidden Markov models and particle filtering. Dimensionality reduction and latent variables modelling are also considered in depth.＜/p＞＜p＞This palette of techniques concludes with an extended chapter on neural networks and deep learning architectures. The book also covers the fundamentals of statistical parameter estimation, Wiener and Kalman filtering, convexity and convex optimization, including a chapter on stochastic approximation and the gradient descent family of algorithms, presenting related online learning techniques as well as concepts and algorithmic versions for distributed optimization.＜/p＞＜p＞Focusing on the physical reasoning behind the mathematics, without sacrificing rigor, all the various methods and techniques are explained in depth, supported by examples and problems, giving an invaluable resource to the student and researcher for understanding and applying machine learning concepts. Most of the chapters include typical case studies and computer exercises, both in MATLAB and Python.＜/p＞＜p＞The chapters are written to be as self-contained as possible, making the text suitable for different courses: pattern recognition, statistical/adaptive signal processing, statistical/Bayesian learning, as well as courses on sparse modeling, deep learning, and probabilistic graphical models.＜/p＞＜p＞New to this edition:＜/p＞＜ul＞＜li＞＜/li＞＜li＞＜p＞Complete re-write of the chapter on Neural Networks and Deep Learning to reflect the latest advances since the 1st edition. The chapter, starting from the basic perceptron and feed-forward neural networks concepts, now presents an in depth treatment of deep networks, including recent optimization algorithms, batch normalization, regularization techniques such as the dropout method, convolutional neural networks, recurrent neural networks, attention mechanisms, adversarial examples and training, capsule networks and generative architectures, such as restricted Boltzman machines (RBMs), variational autoencoders and generative adversarial networks (GANs).＜/p＞＜/li＞＜li＞＜/li＞＜li＞＜p＞Expanded treatment of Bayesian learning to include nonparametric Bayesian methods, with a focus on the Chinese restaurant and the Indian buffet processes.＜/p＞＜/li＞＜li＞＜p＞Presents the physical reasoning, mathematical modeling and algorithmic implementation of each method＜/p＞＜/li＞＜li＞＜p＞Updates on the latest trends, including sparsity, convex analysis and optimization, online distributed algorithms, learning in RKH spaces, Bayesian inference, graphical and hidden Markov models, particle filtering, deep learning, dictionary learning and latent variables modeling＜/p＞＜/li＞＜li＞＜p＞Provides case studies on a variety of topics, including protein folding prediction, optical character recognition, text authorship identification, fMRI data analysis, change point detection, hyperspectral image unmixing, target localization, and more＜/p＞＜/li＞＜/ul＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	10,382円