Likelihood and Bayesian Inference (inbunden)
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Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
402
Utgivningsdatum
2020-04-01
Upplaga
2nd ed. 2020
Förlag
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Medarbetare
Sabans Bov, Daniel
Illustrationer
84 Illustrations, black and white; XIII, 402 p. 84 illus.
Dimensioner
234 x 156 x 24 mm
Vikt
758 g
Antal komponenter
1
Komponenter
1 Hardback
ISBN
9783662607916

Likelihood and Bayesian Inference

With Applications in Biology and Medicine

av Leonhard Held, Daniel Sabans Bov
Inbunden,  Engelska, 2020-04-01
1040
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This richly illustrated textbook covers modern statistical methods with applications in medicine, epidemiology and biology. Firstly, it discusses the importance of statistical models in applied quantitative research and the central role of the likelihood function, describing likelihood-based inference from a frequentist viewpoint, and exploring the properties of the maximum likelihood estimate, the score function, the likelihood ratio and the Wald statistic. In the second part of the book, likelihood is combined with prior information to perform Bayesian inference. Topics include Bayesian updating, conjugate and reference priors, Bayesian point and interval estimates, Bayesian asymptotics and empirical Bayes methods. It includes a separate chapter on modern numerical techniques for Bayesian inference, and also addresses advanced topics, such as model choice and prediction from frequentist and Bayesian perspectives. This revised edition of the book Applied Statistical Inference has been expanded to include new material on Markov models for time series analysis. It also features a comprehensive appendix covering the prerequisites in probability theory, matrix algebra, mathematical calculus, and numerical analysis, and each chapter is complemented by exercises. The text is primarily intended for graduate statistics and biostatistics students with an interest in applications.
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Leonhard Held, Daniel Sabans Bov

Recensioner i media

If you need a guidebook to follow when you need to refresh past statistical concepts from your memory, or even learn the rationale behind a method you are not familiar with, this user-friendly book will give you a perfect starting point. (Pablo Hernndez-Alonso, ISCB News, iscb.info, June, 2022)

Övrig information

Leonhard Held is a Full Professor of Biostatistics, Director of the Masters Program in Biostatistics and Chair of the Center for Reproducible Science at the University of Zurich, Switzerland. He has published several books and numerous articles on statistical methodology, applied statistics and biomedical research and teaches undergraduate and graduate-level courses in Biostatistics and Medical Statistics. Daniel Sabans Bov completed his PhD in Statistics at the University of Zurich under the supervision of Leonhard Held. He started his career as a biostatistician in oncology drug development at Hoffmann-La Roche in 2013, and has been a data scientist at Google since 2018.

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