| Routledge

44,740원  | 20250429  | 9781032744001

Bayesian Statistics provides a comprehensive yet accessible introduction to Bayesian statistics, specifically tailored for any researcher with an interest in statistical methods. It covers the theoretical foundations of Bayesian inference, contrasting it with classical statistical methods like null hypothesis significance testing.

 | Routledge

302,220원  | 20250429  | 9781032746388

Bayesian Statistics provides a comprehensive yet accessible introduction to Bayesian statistics, specifically tailored for any researcher with an interest in statistical methods. It covers the theoretical foundations of Bayesian inference, contrasting it with classical statistical methods like null hypothesis significance testing.

Lee, Peter M.  | Hodder Arnold

0원  | 20040513  | 9780340814055

Among statisticians the Bayesian approach continues to gain adherents and this new edition of Peter Lee's classic introduction maintains the clarity of exposition and use of examples for which the text is known and praised. In addition, there is extended coverage of the Metropolis-Hastings algorithm as well as an introduction to the use of BUGS, as this is now the standard computational tool for such numerical work. Other alterations include new material on generalized linear modeling and Bernardo's theory of reference points.

Allen Downey  | O'Reilly Media

85,500원  | 20210914  | 9781492089469

If you know how to program, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical formulas, using discrete probability distributions rather than continuous mathematics.

 | Springer Nature B.V.

74,480원  | 20221127  | 9783031164286

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.

Springer  | Springer

0원  | 20131024  | 9781461456957

This book is based on over a dozen years teaching a Bayesian Statistics course.

 | Springer Nature B.V.

74,480원  | 20130103  | 9781461456971

This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been used by students of different levels and disciplines, including advanced undergraduates studying Mathematics and Statistics and students in graduate programs in Statistics, Biostatistics, Engineering, Economics, Marketing, Pharmacy, and Psychology.

Kurt, Will  | No Starch Pr

77,490원  | 20190709  | 9781593279561

A fun guide to learning Bayesian statistics and probability through unusual and illustrative examples.

 | Oxford Univ Pr

229,460원  | 20190723  | 9780198841296

This is an entry-level book on Bayesian statistics written in a casual, and conversational tone. The authors walk a reader through many sample problems step-by-step to provide those with little background in math or statistics with the vocabulary, notation, and understanding of the calculations used in many Bayesian problems.

 | Soc for Industrial & Applied Math

77,080원  | 99991230  | 9780898710021

A study of those statistical ideas that use a probability distribution over parameter space. The first part describes the axiomatic basis in the concept of coherence and the implications of this for sampling theory statistics. The second part disc...

 | Edward Elgar Pub

328,540원  | 19970801  | 9781858985046

Elementary Bayesian Statistics is a thorough and easily accessible introduction to the theory and practical application of Bayesian statistics. It presents methods to assist in the collection, summary and presentation of numerical data.

Rowe, Daniel B.  | CRC

380,580원  | 20021201  | 9781584883180

William M. Bolstad, James M. Curran  | Wiley

229,000원  | 20170701  | 9781118091562

". this edition is useful and effective in teaching Bayesian inference at both elementary and intermediate levels. It is a well-written book on elementary Bayesian inference, and the material is easily accessible.

 | Sage Publications Ltd

285,560원  | 20180310  | 9781473916357

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.

Lambert, Ben  | Sage Publications Ltd

115,470원  | 20180210  | 9781473916364

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.