 Название: Statistical Modeling and Computation, 2nd Edition
Автор: Joshua C.C. Chan, Dirk P. Kroese
Издательство: Springer
Год: 2025
Страниц: 497
Язык: английский
Формат: pdf (true)
Размер: 12.1 MB
This book, Statistical Modeling and Computation, provides a unique introduction to modern statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of mathematical statistics and modern statistical computation, emphasizing statistical modeling, computational techniques, and applications.
Because not all readers will have access to MATLAB, we have switched in this Second Edition to the Julia programming language, which is freely available and is very close in syntax to MATLAB. For all examples with computing components, the authors provide data sets and their own Julia codes. In addition, being a compiled language, Julia is computationally significantly faster than R. The book is accompanied by the website from which the Julia code and data files can be downloaded. In addition, we provide MATLAB and R versions for each Julia program. To keep the book fully self-contained, we include the more technical proofs and mathematical theory in an appendix. To facilitate the use of Julia we have added a concise introduction to the Julia computing language.
The new edition features numerous full color graphics to illustrate the concepts discussed in the text, and adds three entirely new chapters on a variety of popular topics, including:
Regularization and the Lasso regression
Bayesian shrinkage methods
Nonparametric statistical tests
Splines and the Gaussian process regression
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Statistical Modeling and Computation, 2nd Edition 
