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商品	説明	価格
Multi-Level Bayesian Models for Environment Perception【電子書籍】[ Csaba Benedek ] 楽天Kobo電子書籍ストア	＜p＞This book deals with selected problems of machine perception, using various 2D and 3D imaging sensors. It proposes several new original methods, and also provides a detailed state-of-the-art overview of existing techniques for automated, multi-level interpretation of the observed static or dynamic environment. To ensure a sound theoretical basis of the new models, the surveys and algorithmic developments are performed in well-established Bayesian frameworks. Low level scene understanding functions are formulated as various image segmentation problems, where the advantages of probabilistic inference techniques such as Markov Random Fields (MRF) or Mixed Markov Models are considered. For the object level scene analysis, the book mainly relies on the literature of Marked Point Process (MPP) approaches, which consider strong geometric and prior interaction constraints in object population modeling. In particular, key developments are introduced in the spatial hierarchical decomposition of the observed scenarios, and in the temporal extension of complex MRF and MPP models. Apart from utilizing conventional optical sensors, case studies are provided on passive radar (ISAR) and Lidar-based Bayesian environment perception tasks. It is shown, via several experiments, that the proposed contributions embedded into a strict mathematical toolkit can significantly improve the results in real world 2D/3D test images and videos, for applications in video surveillance, smart city monitoring, autonomous driving, remote sensing, and optical industrial inspection.＜/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。	14,585円
New Frontiers in Bayesian Statistics BAYSM 2021, Online, September 1?3【電子書籍】楽天Kobo電子書籍ストア	＜p＞This book presents a selection of peer-reviewed contributions to the fifth Bayesian Young Statisticians Meeting, BaYSM 2021, held virtually due to the COVID-19 pandemic on 1-3 September 2021. Despite all the challenges of an online conference, the meeting provided a valuable opportunity for early career researchers, including MSc students, PhD students, and postdocs to connect with the broader Bayesian community.＜/p＞＜p＞The proceedings highlight many different topics in Bayesian statistics, presenting promising methodological approaches to address important challenges in a variety of applications. The book is intended for a broad audience of people interested in statistics, and provides a series of stimulating contributions on theoretical, methodological, and computational aspects of Bayesian statistics.＜/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。	18,231円
Nonparametric Bayesian Inference in Biostatistics【電子書籍】楽天Kobo電子書籍ストア	＜p＞As chapters in this book demonstrate, BNP has important uses in clinical sciences and inference for issues like unknown partitions in genomics. Nonparametric Bayesian approaches (BNP) play an ever expanding role in biostatistical inference from use in proteomics to clinical trials. Many research problems involve an abundance of data and require flexible and complex probability models beyond the traditional parametric approaches. As this book's expert contributors show, BNP approaches can be the answer. Survival Analysis, in particular survival regression, has traditionally used BNP, but BNP's potential is now very broad. This applies to important tasks like arrangement of patients into clinically meaningful subpopulations and segmenting the genome into functionally distinct regions. This book is designed to both review and introduce application areas for BNP. While existing books provide theoretical foundations, this book connects theory to practice through engaging examples and research questions. Chapters cover: clinical trials, spatial inference, proteomics, genomics, clustering, survival analysis and ROC curve.＜/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。	12,154円
Bayesian Population Analysis using WinBUGS A Hierarchical Perspective【電子書籍】[ Michael Schaub ] 楽天Kobo電子書籍ストア	＜p＞Bayesian statistics has exploded into biology and its sub-disciplines, such as ecology, over the past decade. The free software program WinBUGS, and its open-source sister OpenBugs, is currently the only flexible and general-purpose program available with which the average ecologist can conduct standard and non-standard Bayesian statistics. - Comprehensive and richly commented examples illustrate a wide range of models that are most relevant to the research of a modern population ecologist - All WinBUGS/OpenBUGS analyses are completely integrated in software R - Includes complete documentation of all R and WinBUGS code required to conduct analyses and shows all the necessary steps from having the data in a text file out of Excel to interpreting and processing the output from WinBUGS in R＜/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。	7,714円
Handbook of Bayesian, Fiducial, and Frequentist Inference【電子書籍】楽天Kobo電子書籍ストア	＜p＞The emergence of data science, in recent decades, has magnified the need for efficient methodology for analyzing data and highlighted the importance of statistical inference. Despite the tremendous progress that has been made, statistical science is still a young discipline and continues to have several different and competing paths in its approaches and its foundations. While the emergence of competing approaches is a natural progression of any scientific discipline, differences in the foundations of statistical inference can sometimes lead to different interpretations and conclusions from the same dataset. The increased interest in the foundations of statistical inference has led to many publications, and recent vibrant research activities in statistics, applied mathematics, philosophy and other fields of science reflect the importance of this development. The BFF approaches not only bridge foundations and scientific learning, but also facilitate objective and replicable scientific research, and provide scalable computing methodologies for the analysis of big data. Most of the published work typically focusses on a single topic or theme, and the body of work is scattered in different journals. This handbook provides a comprehensive introduction and broad overview of the key developments in the BFF schools of inference. It is intended for researchers and students who wish for an overview of foundations of inference from the BFF perspective and provides a general reference for BFF inference.＜/p＞＜p＞Key Features:＜/p＞＜ul＞＜li＞Provides a comprehensive introduction to the key developments in the BFF schools of inference＜/li＞＜li＞Gives an overview of modern inferential methods, allowing scientists in other fields to expand their knowledge＜/li＞＜li＞Is accessible for readers with different perspectives and backgrounds＜/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。	11,792円
Bayesian Inference Data Evaluation and Decisions【電子書籍】[ Hanns Ludwig Harney ] 楽天Kobo電子書籍ストア	＜p＞This new edition offers a comprehensive introduction to the analysis of data using Bayes rule. It generalizes Gaussian error intervals to situations in which the data follow distributions other than Gaussian. This is particularly useful when the observed parameter is barely above the background or the histogram of multiparametric data contains many empty bins, so that the determination of the validity of a theory cannot be based on the chi-squared-criterion. In addition to the solutions of practical problems, this approach provides an epistemic insight: the logic of quantum mechanics is obtained as the logic of unbiased inference from counting data. New sections feature factorizing parameters, commuting parameters, observables in quantum mechanics, the art of fitting with coherent and with incoherent alternatives and fitting with multinomial distribution. Additional problems and examples help deepen the knowledge. Requiring no knowledge of quantum mechanics, the book is written on introductory level, with many examples and exercises, for advanced undergraduate and graduate students in the physical sciences, planning to, or working in, fields such as medical physics, nuclear physics, quantum mechanics, and chaos.＜/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。	13,369円
Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks Online Environmental Field Reconstruction in Space and Time【電子書籍】[ Yunfei Xu ] 楽天Kobo電子書籍ストア	＜p＞This brief introduces a class of problems and models for the prediction of the scalar field of interest from noisy observations collected by mobile sensor networks. It also introduces the problem of optimal coordination of robotic sensors to maximize the prediction quality subject to communication and mobility constraints either in a centralized or distributed manner. To solve such problems, fully Bayesian approaches are adopted, allowing various sources of uncertainties to be integrated into an inferential framework effectively capturing all aspects of variability involved. The fully Bayesian approach also allows the most appropriate values for additional model parameters to be selected automatically by data, and the optimal inference and prediction for the underlying scalar field to be achieved. In particular, spatio-temporal Gaussian process regression is formulated for robotic sensors to fuse multifactorial effects of observations, measurement noise, and prior distributions for obtaining the predictive distribution of a scalar environmental field of interest. New techniques are introduced to avoid computationally prohibitive Markov chain Monte Carlo methods for resource-constrained mobile sensors. Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks starts with a simple spatio-temporal model and increases the level of model flexibility and uncertainty step by step, simultaneously solving increasingly complicated problems and coping with increasing complexity, until it ends with fully Bayesian approaches that take into account a broad spectrum of uncertainties in observations, model parameters, and constraints in mobile sensor networks. The book is timely, being very useful for many researchers in control, robotics, computer science and statistics trying to tackle a variety of tasks such as environmental monitoring and adaptive sampling, surveillance, exploration, and plume tracking which are of increasing currency. Problems are solved creatively by seamless combination of theories and concepts from Bayesian statistics, mobile sensor networks, optimal experiment design, and distributed computation.＜/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。	6,076円
New Frontiers in Bayesian Statistics: Baysm 2021, Online, September 1-3 NEW FRONTIERS IN BAYESIAN STAT （Springer Proceedings in Mathematics & Statistics） [ Raffaele Argiento ] 楽天ブックス	NEW FRONTIERS IN BAYESIAN STAT Springer Proceedings in Mathematics & Statistics Raffaele Argiento Federico Camerlenghi Sally Paganin SPRINGER NATURE2022 Hardcover 2022 English ISBN：9783031164262 洋書 Computers & Science（コンピューター＆科学） Mathematics	46,376円
【中古】【輸入品・未使用】A Student’s Guide to Bayesian Statistics ムジカ＆フェリーチェ楽天市場店	【中古】【輸入品・未使用】A Student’s Guide to Bayesian Statistics【メーカー名】SAGE Publications Ltd【メーカー型番】【ブランド名】SAGE Publications Ltd【商品説明】A Student’s Guide to Bayesian Statistics当店では初期不良に限り、商品到着から7日間は返品を受付けております。こちらは海外販売用に買取り致しました未使用品です。買取り致しました為、中古扱いとしております。他モールとの併売品の為、完売の際はご連絡致しますのでご了承下さい。速やかにご返金させて頂きます。ご注文からお届けまで1、ご注文⇒ご注文は24時間受け付けております。2、注文確認⇒ご注文後、当店から注文確認メールを送信します。3、配送⇒当店海外倉庫から取り寄せの場合は10〜30日程度でのお届けとなります。国内到着後、発送の際に通知にてご連絡致します。国内倉庫からの場合は3〜7日でのお届けとなります。　※離島、北海道、九州、沖縄は遅れる場合がございます。予めご了承下さい。お電話でのお問合せは少人数で運営の為受け付けておりませんので、メールにてお問合せお願い致します。営業時間　月〜金　10:00〜17:00お客様都合によるご注文後のキャンセル・返品はお受けしておりませんのでご了承下さい。	23,140円
Bayesian Cost-Effectiveness Analysis with the R package BCEA【電子書籍】[ Gianluca Baio ] 楽天Kobo電子書籍ストア	＜p＞The book provides a description of the process of health economic evaluation and modelling for cost-effectiveness analysis, particularly from the perspective of a Bayesian statistical approach. Some relevant theory and introductory concepts are presented using practical examples and two running case studies. The book also describes in detail how to perform health economic evaluations using the R package BCEA (Bayesian Cost-Effectiveness Analysis). BCEA can be used to post-process the results of a Bayesian cost-effectiveness model and perform advanced analyses producing standardised and highly customisable outputs. It presents all the features of the package, including its many functions and their practical application, as well as its user-friendly web interface. The book is a valuable resource for statisticians and practitioners working in the field of health economics wanting to simplify and standardise their workflow, for example in the preparation of dossiers in support of marketing authorisation, or academic and scientific publications.＜/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。	9,116円
Statistical Inference An Integrated Bayesian/Likelihood Approach【電子書籍】[ Murray Aitkin ] 楽天Kobo電子書籍ストア	＜p＞Filling a gap in current Bayesian theory, Statistical Inference: An Integrated Bayesian/Likelihood Approach presents a unified Bayesian treatment of parameter inference and model comparisons that can be used with simple diffuse prior specifications. This novel approach provides new solutions to difficult model comparison problems and offers direct＜/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。	14,320円
洋書 Paperback, Forecasting International Migration in Europe: A Bayesian View: A Bayesian View (The Springer Series on Demographic Methods and Population Analysis) Glomarket	* We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 * 特に注意してください。 * ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 * ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。・当店でご購入された商品は、原則として、「個人輸入」としての取り扱いになり、すべてニュージャージからお客様のもとへ直送されます。・ご注文後、30営業日以内(通常2~3週間)に配送手続きをいたします。配送作業完了後、2週間程度でのお届けとなります。・まれに商品入荷状況や国際情勢、運送、通関事情により、お届けが2ヶ月までかかる場合がありますのでお急ぎの場合は注文をお控えください。・個人輸入される商品は、すべてご注文者自身の「個人使用・個人消費」が前提となりますので、ご注文された商品を第三者へ譲渡・転売することは法律で禁止されております。・関税・消費税が課税される場合があります。詳細はこちらをご確認下さい。PC販売説明文	26,053円
Bayesian Inverse Problems Fundamentals and Engineering Applications【電子書籍】楽天Kobo電子書籍ストア	＜p＞This book is devoted to a special class of engineering problems called ＜em＞Bayesian inverse problems＜/em＞. These problems comprise not only the probabilistic Bayesian formulation of engineering problems, but also the associated stochastic simulation methods needed to solve them. Through this book, the reader will learn how this class of methods can be useful to rigorously address a range of engineering problems where empirical data and fundamental knowledge come into play. The book is written for a non-expert audience and it is contributed to by many of the most renowned academic experts in this field.＜/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。	16,849円
ベイズデータ解析 / 原タイトル:Bayesian Data Analysis 原著第3版の翻訳[本/雑誌] / AndrewGelman/〔ほか〕著菅澤翔之助/〔ほか〕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＞待望の翻訳。豊富な実例をもとに、多岐にわたる手法の理論的基礎から計算機を用いたシミュレーション手法までを網羅的に解説。研究者、実務者のリファレンスとして最適な一冊。＜収録内容＞第1部ベイズ推論の基礎(確率と推論単一のパラメータをもつモデルマルチパラメータモデル入門漸近理論と非ベイズアプローチの関係階層モデル)第2部ベイズデータ解析の基礎(モデル診断モデルの評価、比較、拡張データ収集を考慮に入れたモデリング意思決定分析)第3部発展的な計算(ベイズ数値計算入門マルコフ連鎖シミュレーションの基礎効率的なマルコフ連鎖シミュレーションモードや分布による近似)第4部回帰モデル(回帰モデルの導入階層線形モデル一般化線形モデル頑健推測のモデル欠測データのモデル)第5部非線形・ノンパラメトリックモデル(パラメトリックな非線形モデル基底関数モデルガウス過程モデル有限混合モデルディリクレ過程モデル)付録＜商品詳細＞商品番号：NEOBK-2993608AndrewGelman / [Hoka] Cho Sugasawa Sho No Suke / [Hoka] Yaku / Bayes Data Kaiseki / Hara Title : Bayesian Data Analysis Gencho Dai3 Han No Honyakuメディア：本/雑誌重量：500g発売日：2024/06JAN：9784627097032ベイズデータ解析 / 原タイトル:Bayesian Data Analysis 原著第3版の翻訳[本/雑誌] / AndrewGelman/〔ほか〕著菅澤翔之助/〔ほか〕訳2024/06発売	14,850円
ベイズ統計分析ハンドブック新装版 / 原タイトル:Bayesian Thinking[本/雑誌] / D.K.Dey/〔編〕 C.R.Rao/〔編〕繁桝算男/監訳岸野洋久/監訳大森裕浩/監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＞因果関係のベイズ的推論参照分析確率一致事前分布客観確率とベイズ因数に基づくモデル選択と仮説検定ベイズ分析におけるP値とその他の証拠の指標の役割ベイズ的モデルチェックとモデル診断局外パラメータの除去多変量位置パラメータのベイズ推定ベイジアンノンパラメトリックモデルとデータ分析入門ベイジアンノンパラメトリックモデルウェーブレット領域におけるベイジアンモデリングベイジアンノンパラメトリック推測関数推定のためのベイズ法ベイジアンパラメトリックモデル推定のためのMCMC法ベイズ統計における計算:事後密度からベイズ因数、周辺尤度、事後モデル確率へ混合分布に関するベイズモデリングと推論シミュレーションに基づく最適設計多変量回帰モデルにおける変数選択と共分散選択動学モデル空間統計におけるベイズ推論〔ほか〕＜商品詳細＞商品番号：NEOBK-2910735Dei D. DEY DIPAK.ra oD Ekayri a/[Hen] puCde I.radakurishiyuna RAO CALYAMPUDI. RaAoDHAKRISHNA /[Hen] Shigema Su Ka Zuotoko / Kanyaku Kishino Hiroshi Hisa / Kanyaku Omori Yasuhiroshi Hiroshi / Kanyaku / Bayes Tokei Bunseki Handbook New Edition / Original Title: Bayesian Thinkingメディア：本/雑誌重量：500g発売日：2023/11JAN：9784254122800ベイズ統計分析ハンドブック新装版 / 原タイトル:Bayesian Thinking[本/雑誌] / D.K.Dey/〔編〕 C.R.Rao/〔編〕繁桝算男/監訳岸野洋久/監訳大森裕浩/監訳2023/11発売	31,900円
The Significance Test Controversy Revisited The Fiducial Bayesian Alternative【電子書籍】[ Bruno Lecoutre ] 楽天Kobo電子書籍ストア	＜p＞This book explains the misuses and abuses of Null Hypothesis Significance Tests, which are reconsidered in light of Jeffreys’ Bayesian concept of the role of statistical inference, in experimental investigations. Minimizing the technical aspects, the studies focuses mainly on methodological contributions.＜/p＞＜p＞The first part of the book gives an overview of the major approaches to statistical testing and an enlightening discussion of the philosophies of Fisher, Neyman-Pearson and Jeffrey. The conceptual and methodological implications of current practices of reporting effect sizes and confidence intervals are also examined and challenged. This sheds new light on the "significance testing controversy" and provides an appropriate Bayesian framework for a comprehensive approach to the analysis and interpretation of experimental data.＜/p＞＜p＞The second part of the book provides concrete Bayesian routine procedures that bypass common misuses of significance testing and arereadily applicable in a wide range of real applications. This approach addresses the need for objective reporting of experimental data, that is acceptable to the scientific community. This is emphasized by the name fiducial (from the Latin ＜em＞fiducia＜/em＞ = confidence). The fiducial Bayesian procedures provide the reader with a real opportunity to think sensibly about problems of statistical inference.＜/p＞＜p＞This book prepares students and researchers to critically read statistical analyses reported in the literature and equips them with an appropriate alternative to the use of significance testing.＜/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。	6,685円
標準ベイズ統計学 / 原タイトル:A First Course in Bayesian Statistical Methods[本/雑誌] / ピーター・D・ホフ/著入江薫/訳菅澤翔之助/訳橋本真太郎/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＞本書は、ベイズ統計学の理論と方法を一冊で解説する。確率論の基礎知識からスタートして正規モデルや階層モデル、線形回帰モデルなどにおけるベイズ法の基礎事項を押さえた後、潜在変数モデルなどの発展的な内容までをカバーしている。ベイズ統計学の基本的な考え方から体系立てて学べるよう構成され、社会科学・医学・生物学など幅広い分野での応用例が取り上げられている。また、統計ソフトウェアRによる実装方法についても詳しく解説し、読者はサンプルコード・データにふれながら学習を進めることができる。＜収録内容＞導入と例信念、確率、交換可能性二項モデルとポアソンモデルモンテカルロ近似正規モデルギブスサンプラーによる事後分布の近似多変量正規モデルグループ比較と階層モデリング線形回帰非共役事前分布とメトロポリス・ヘイスティングスアルゴリズム線形・一般化線形混合効果モデル順序データに対する潜在変数法＜アーティスト／キャスト＞入江薫(演奏者)＜商品詳細＞商品番号：NEOBK-2744985Pita D Ho Fu / Cho Irie Kaoru / Yaku Sugasawa Sho No Suke / Yaku Hashimoto Shin Taro / Yaku / Hyojun Bayes Tokei Gaku / Original Title: a First Course in Bayesian Statistical Methodsメディア：本/雑誌重量：450g発売日：2022/06JAN：9784254122671標準ベイズ統計学 / 原タイトル:A First Course in Bayesian Statistical Methods[本/雑誌] / ピーター・D・ホフ/著入江薫/訳菅澤翔之助/訳橋本真太郎/訳2022/06発売	4,730円
Bayesian Precision Medicine【電子書籍】[ Peter F. Thall ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Bayesian Precision Medicine＜/strong＞ presents modern Bayesian statistical models and methods for identifying treatments tailored to individual patients using their prognostic variables and predictive biomarkers. The process of evaluating and comparing treatments is explained and illustrated by practical examples, followed by a discussion of causal analysis and its relationship to statistical inference. A wide array of modern Bayesian clinical trial designs are presented, including applications to many oncology trials. The later chapters describe Bayesian nonparametric regression analyses of datasets arising from multistage chemotherapy for acute leukemia, allogeneic stem cell transplantation, and targeted agents for treating advanced breast cancer.＜/p＞＜p＞＜strong＞Features:＜/strong＞＜/p＞＜ul＞＜li＞Describes the connection between causal analysis and statistical inference＜/li＞＜li＞Reviews modern personalized Bayesian clinical trial designs for dose-finding, treatment screening, basket trials, enrichment, incorporating historical data, and confirmatory treatment comparison, illustrated by real-world applications＜/li＞＜li＞Presents adaptive methods for clustering similar patient subgroups to improve efficiency＜/li＞＜li＞Describes Bayesian nonparametric regression analyses of real-world datasets from oncology＜/li＞＜li＞Provides pointers to software for implementation＜/li＞＜/ul＞＜p＞＜strong＞Bayesian Precision Medicine＜/strong＞ is primarily aimed at biostatisticians and medical researchers who desire to apply modern Bayesian methods to their own clinical trials and data analyses. It also might be used to teach a special topics course on precision medicine using a Bayesian approach to postgraduate biostatistics students. The main goal of the book is to show how Bayesian thinking can provide a practical scientific basis for tailoring treatments to individual patients.＜/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。	11,792円
Bayesian Machine Learning in Geotechnical Site Characterization【電子書籍】[ Jianye Ching ] 楽天Kobo電子書籍ストア	＜p＞Bayesian data analysis and modelling linked with machine learning offers a new tool for handling geotechnical data. This book presents recent advancements made by the author in the area of probabilistic geotechnical site characterization.＜/p＞＜p＞Two types of correlation play central roles in geotechnical site characterization: cross-correlation among soil properties and spatial-correlation in the underground space. The book starts with the introduction of Bayesian notion of probability “degree of belief”, showing that well-known probability axioms can be obtained by Boolean logic and the definition of plausibility function without the use of the notion “relative frequency”. It then reviews probability theories and useful probability models for cross-correlation and spatial correlation. Methods for Bayesian parameter estimation and prediction are also presented, and the use of these methods demonstrated with geotechnical site characterization examples.＜/p＞＜p＞＜em＞Bayesian Machine Learning in Geotechnical Site Characterization＜/em＞ suits consulting engineers and graduate students in the area.＜/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。	37,067円
New Statistics for Design Researchers A Bayesian Workflow in Tidy R【電子書籍】[ Martin Schmettow ] 楽天Kobo電子書籍ストア	＜p＞Design Research uses scientific methods to evaluate designs and build design theories. This book starts with recognizable questions in Design Research, such as A/B testing, how users learn to operate a device and why computer-generated faces are eerie. Using a broad range of examples, efficient research designs are presented together with statistical models and many visualizations.＜/p＞＜p＞With the tidy R approach, producing publication-ready statistical reports is straight-forward and even non-programmers can learn this in just one day. Hundreds of illustrations, tables, simulations and models are presented with full R code and data included.＜/p＞＜p＞Using Bayesian linear models, multi-level models and generalized linear models, an extensive statistical framework is introduced, covering a huge variety of research situations and yet, building on only a handful of basic concepts. Unique solutions to recurring problems are presented, such as psychometric multi-level models, beta regression for rating scales and ExGaussian regression for response times. A “think-first” approach is promoted for model building, as much as the quantitative interpretation of results, stimulating readers to think about data generating processes, as well as rational decision making.＜/p＞＜p＞＜em＞New Statistics for Design Researchers: A Bayesian Workflow in Tidy R＜/em＞ targets scientists, industrial researchers and students in a range of disciplines, such as Human Factors, Applied Psychology, Communication Science, Industrial Design, Computer Science and Social Robotics. Statistical concepts are introduced in a problem-oriented way and with minimal formalism. Included primers on R and Bayesian statistics provide entry point for all backgrounds. A dedicated chapter on model criticism and comparison is a valuable addition for the seasoned scientist.＜/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。	6,076円
The Oxford Handbook of Applied Bayesian Analysis【電子書籍】楽天Kobo電子書籍ストア	＜p＞Bayesian analysis has developed rapidly in applications in the last two decades and research in Bayesian methods remains dynamic and fast-growing. Dramatic advances in modelling concepts and computational technologies now enable routine application of Bayesian analysis using increasingly realistic stochastic models, and this drives the adoption of Bayesian approaches in many areas of science, technology, commerce, and industry. This Handbook explores contemporary Bayesian analysis across a variety of application areas. Chapters written by leading exponents of applied Bayesian analysis showcase the scientific ease and natural application of Bayesian modelling, and present solutions to real, engaging, societally important and demanding problems. The chapters are grouped into five general areas: Biomedical & Health Sciences; Industry, Economics & Finance; Environment & Ecology; Policy, Political & Social Sciences; and Natural & Engineering Sciences, and Appendix material in each touches on key concepts, models, and techniques of the chapter that are also of broader pedagogic and applied interest.＜/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。	7,302円
Bayesian Reasoning and Machine Learning【電子書籍】[ David Barber ] 楽天Kobo電子書籍ストア	＜p＞Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus. Comprehensive and coherent, it develops everything from basic reasoning to advanced techniques within the framework of graphical models. Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter. Resources for students and instructors, including a MATLAB toolbox, are available online.＜/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。	12,670円
Bayesian Methods for Measures of Agreement【電子書籍】[ Lyle D. Broemeling ] 楽天Kobo電子書籍ストア	＜p＞Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents useful methods for the design and analysis of agreement studies. It focuses on agreement among the various players in the diagnostic process.The author employs a Bayesian approach to provide statistical inferences＜/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。	10,781円
Bayesian Model Comparison【電子書籍】楽天Kobo電子書籍ストア	＜p＞The volume contains articles that should appeal to readers with computational, modeling, theoretical, and applied interests. Methodological issues include parallel computation, Hamiltonian Monte Carlo, dynamic model selection, small sample comparison of structural models, Bayesian thresholding methods in hierarchical graphical models, adaptive reversible jump MCMC, LASSO estimators, parameter expansion algorithms, the implementation of parameter and non-parameter-based approaches to variable selection, a survey of key results in objective Bayesian model selection methodology, and a careful look at the modeling of endogeneity in discrete data settings. Important contemporary questions are examined in applications in macroeconomics, finance, banking, labor economics, industrial organization, and transportation, among others, in which model uncertainty is a central consideration.＜/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。	28,035円
Jesus’ Resurrection and Apparitions A Bayesian Analysis【電子書籍】[ Jake O'Connell ] 楽天Kobo電子書籍ストア	＜p＞Did Jesus rise physically from the dead, or did he rise as a real, non-bodily apparition, like those reported in the parapsychological literature? In this book, which is the first book-length examination of the question in over fifty years, Jake O'Connell argues in favor of the physical resurrection hypothesis. In order to do so, he employs Bayes' Theorem, a mathematical theorem which encapsulates the way humans think when they analyze the probability of a hypothesis. In addition, he provides a thorough overview of the evidence for the reality of apparitions of the dead.＜/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。	4,718円
Electromagnetic Brain Imaging A Bayesian Perspective【電子書籍】[ Kensuke Sekihara ] 楽天Kobo電子書籍ストア	＜p＞This graduate level textbook provides a coherent introduction to the body of main-stream algorithms used in electromagnetic brain imaging, with specific emphasis on novel Bayesian algorithms. It helps readers to more easily understand literature in biomedical engineering and related fields and be ready to pursue research in either the engineering or the neuroscientific aspects of electromagnetic brain imaging. This textbook will not only appeal to graduate students but all scientists and engineers engaged in research on electromagnetic brain imaging.＜/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。	8,517円
Operational Modal Analysis Modeling, Bayesian Inference, Uncertainty Laws【電子書籍】[ Siu-Kui Au ] 楽天Kobo電子書籍ストア	＜p＞This book presents operational modal analysis (OMA), employing a coherent and comprehensive Bayesian framework for modal identification and covering stochastic modeling, theoretical formulations, computational algorithms, and practical applications. Mathematical similarities and philosophical differences between Bayesian and classical statistical approaches to system identification are discussed, allowing their mathematical tools to be shared and their results correctly interpreted.＜/p＞＜p＞The authors provide their data freely in the web at doi.org/10.7910/DVN/7EVTXG＜/p＞＜p＞Many chapters can be used as lecture notes for the general topic they cover beyond the OMA context. After an introductory chapter (1), Chapters 2?7 present the general theory of stochastic modeling and analysis of ambient vibrations. Readers are first introduced to the spectral analysis of deterministic time series (2) and structural dynamics (3),which do not require the use of probability concepts. The concepts and techniques in these chapters are subsequently extended to a probabilistic context in Chapter 4 (on stochastic processes) and in Chapter 5 (on stochastic structural dynamics). In turn, Chapter 6 introduces the basics of ambient vibration instrumentation and data characteristics, while Chapter 7 discusses the analysis and simulation of OMA data, covering different types of data encountered in practice. Bayesian and classical statistical approaches to system identification are introduced in a general context in Chapters 8 and 9, respectively.＜/p＞＜p＞Chapter 10 provides an overview of different Bayesian OMA formulations, followed by a general discussion of computational issues in Chapter 11. Efficient algorithms for different contexts are discussed in Chapters 12?14 (single mode, multi-mode, and multi-setup). Intended for readers with a minimal background in mathematics, Chapter 15 presents the ‘uncertainty laws’ in OMA, one of the latest advances that establish the achievable precision limit of OMA and provide a scientific basis for planning ambient vibration tests. Lastly Chapter 16 discusses the mathematical theory behind the results in Chapter 15, addressing the needs of researchers interested in learning the techniques for further development. Three appendix chapters round out the coverage.＜/p＞＜p＞This book is primarily intended for graduate/senior undergraduate students and researchers, although practitioners will also find the book a useful reference guide. It covers materials from introductory to advanced level, which are classified accordingly to ensure easy access. Readers with an undergraduate-level background in probability and statistics will find the book an invaluable resource, regardless of whether they are Bayesian or non-Bayesian.＜/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。	34,033円
[RDY] [送料無料] Rを使うRによるベイズ計算 (ペーパーバック) [楽天海外通販] \| Use R! Bayesian Computation with R, (Paperback) Walmart 楽天市場店	\| Rを使うRによるベイズ計算, (ペーパーバック) 著者：Springer ISBN: 9780387922973 Format：ペーパーバック出版日： 2009-05-15 ページ数： 300300 \| ※商品の仕様やパッケージは予告なく変更になる場合がございます。 ※化粧箱に破損があっても内容品に問題が無い場合は返品・交換を承ることはできません。【重要】注意事項（ご購入前に必ずお読みください。）・当店でご購入された商品は、原則として、「個人輸入」としての取り扱いになり、全てアメリカのカリフォルニア州からお客様のもとへ直送されます。・個人輸入される商品は、全てご注文者自身の「個人使用・個人消費」が前提となりますので、ご注文された商品を第三者へ譲渡・転売することは法律で禁止されております。個人輸入される商品は、すべてご注文者自身の「個人使用・個人消費」が前提となりますので、ご注文された商品を第三者へ譲渡・転売することは法律で禁止されております。・通関時に関税・輸入消費税が発生した場合は当店が負担いたします。お客様にお支払いいただく関税消費税はございません。詳細はこちらをご確認下さい。・前払いの場合はご入金日から、それ以外の場合はご注文日から7日以内に国際発送、17日以内にお届け予定です。商品の在庫状況やアメリカ国内での配送状況、通関の状況等によって、商品のお届けまでに17日以上かかる場合がございます。・当店ではご注文後に在庫の確保を行うため、ご注文後に商品が品切れとなる場合がございます。その場合お客様にご連絡後、返金対応致します。なお、ご注文から30分経過後のキャンセル、変更、お客様都合による返品・交換はお断り致しております。・住所不明・長期不在・受取拒否などお客様のご都合で商品を受け取りされず、配送会社のセンターへ商品が返送された場合、当店が定める期日までにお客様から配送会社へ再配達のご連絡をして頂けない場合はご注文をキャンセルさせて頂きます。その場合でもアメリカからの商品の発送費用や返送費用などは請求させて頂きます。＊色がある商品の場合、モニターの発色の具合によって実際のものと色が異なって見える場合がございます \| Use R! Bayesian Computation with R, (Paperback) Author: Springer ISBN: 9780387922973 Format: Paperback Publication Date: 2009-05-15 Page Count: 300	12,946円
【中古】【輸入品・未使用】Bayesian Reasoning in Data Analysis: A Critical Introduction ムジカ＆フェリーチェ楽天市場店	【中古】【輸入品・未使用】Bayesian Reasoning in Data Analysis: A Critical Introduction【メーカー名】World Scientific Pub Co Inc【メーカー型番】【ブランド名】World Scientific Publishing Company【商品説明】Bayesian Reasoning in Data Analysis: A Critical Introduction当店では初期不良に限り、商品到着から7日間は返品を受付けております。こちらは海外販売用に買取り致しました未使用品です。買取り致しました為、中古扱いとしております。他モールとの併売品の為、完売の際はご連絡致しますのでご了承下さい。速やかにご返金させて頂きます。ご注文からお届けまで1、ご注文⇒ご注文は24時間受け付けております。2、注文確認⇒ご注文後、当店から注文確認メールを送信します。3、配送⇒当店海外倉庫から取り寄せの場合は10〜30日程度でのお届けとなります。国内到着後、発送の際に通知にてご連絡致します。国内倉庫からの場合は3〜7日でのお届けとなります。　※離島、北海道、九州、沖縄は遅れる場合がございます。予めご了承下さい。お電話でのお問合せは少人数で運営の為受け付けておりませんので、メールにてお問合せお願い致します。営業時間　月〜金　10:00〜17:00お客様都合によるご注文後のキャンセル・返品はお受けしておりませんのでご了承下さい。	50,213円
Bayesian Process Monitoring, Control and Optimization【電子書籍】楽天Kobo電子書籍ストア	＜p＞Although there are many Bayesian statistical books that focus on biostatistics and economics, there are few that address the problems faced by engineers. Bayesian Process Monitoring, Control and Optimization resolves this need, showing you how to oversee, adjust, and optimize industrial processes. Bridging the gap between application and dev＜/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。	14,320円