Andrew Gelman is Professor of Statistics and Professor of Political Science at Columbia University. He has published over 150 articles in statistical theory, methods, and computation, and in applications areas including decision analysis, survey sampling, political science, public health, and policy. His other books are Bayesian Data Analysis (1995, second edition 2003) and Teaching Statistics: A Bag of Tricks (2002).
5 Электронные книги Xiao-Li Meng
Andrew Gelman & Xiao-Li Meng: Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives
This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, instrumental variables, and Bayesian …
PDF
английский
DRM
€107.99
Alan Agresti & Xiao-Li Meng: Strength in Numbers: The Rising of Academic Statistics Departments in the U. S.
Statistical science as organized in formal academic departments is relatively new. With a few exceptions, most Statistics and Biostatistics departments have been created within the past 60 year …
PDF
английский
€96.29
Steve (University of Cambridge, UK) Brooks & Andrew (Department of Statistics, Columbia University, New York, USA) Gelman: Handbook of Markov Chain Monte Carlo
Since their popularization in the 1990s, Markov chain Monte Carlo (MCMC) methods have revolutionized statistical computing and have had an especially profound impact on the practice of Bayesian …
PDF
DRM
€98.37
James (Duke University, USA) Berger & Xiao-Li (Harvard University, Cambridge, USA) Meng: Handbook of Bayesian, Fiducial, and Frequentist Inference
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 p …
PDF
DRM
€64.20
James (Duke University, USA) Berger & Xiao-Li (Harvard University, Cambridge, USA) Meng: Handbook of Bayesian, Fiducial, and Frequentist Inference
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 p …
EPUB
DRM
€64.04
