## Advancements in Bayesian Methods and Implementations [to appear]

Posted in Books, Statistics with tags , , , , , on July 17, 2022 by xi'an

As noted in another post, I wrote a chapter on Bayesian testing for an incoming handbook, Advancements in Bayesian methods and implementations which is published by Elsevier at an atrocious price (as usual). Here is the table of contents:

1. Fisher Information, Cramèr-Rao and Bayesian Paradigm by Roy Frieden
2. Compound beta binomial distribution functions by Angelo Plastino
3. MCMC for GLMMS by Vivekananda Roy
4. Signal Processing and Bayesian by Chandra Murthy
5. Mathematical theory of Bayesian statistics where all models are wrong by Sumio Watanabe
6. Machine Learning and Bayesian by Jun Zhu
7. Non-parametric Bayes by Stephen Walker
8. [50 shades of] Bayesian testing [of hypotheses] by Christian P. Robert
9. Data Analysis with humans by Sumio Kaski
10. Bayesian Inference under selection by G. Alastair Young
10. Variational inference or Functional horseshoe by Anirban Bhattacharya
11. Generalized Bayes by Ryan Martin

and my chapter is also available on arXiv, quickly gathered from earlier short courses at O’Bayes meetings and some xianblog entries on the topic, hence not containing much novelty!

## an elegant book [review]

Posted in Books, Statistics, University life with tags , , , , , , , on December 28, 2020 by xi'an

“Handbook of Mixture Analysis is an elegant book on the mixture models. It covers not only statistical foundations but also extensions and applications of mixture models. The book consists of 19 chapters (each chapter is an independent paper), and collectively, these chapters weave into an elegant web of mixture models” Yen-Chi Chen (U. Washington)

## Handbook of Mixture Analysis [cover]

Posted in Books, Statistics, University life with tags , , , , , , , , on August 15, 2018 by xi'an

On the occasion of my talk at JSM2018, CRC Press sent me the cover of our incoming handbook on mixture analysis, courtesy of Rob Calver who managed to get it to me on very short notice! We are about ready to send the manuscript to CRC Press and hopefully the volume will get published pretty soon. It would have been better to have it ready for JSM2018, but we editors got delayed by a few months for the usual reasons.

## Statistical analyses using R

Posted in Books, R, Statistics with tags , , , , , on April 22, 2011 by xi'an

Another book I received from the Short Book Reviews section of the International Statistical Review is Everitt’s and Hothorn’s Handbook of statistical analyses using R. Here is a [blog-ified] version of my book review.

This book is the second (blue) edition of a successful (violet) handbook that can benefit a wide audience interested in using R for its data analysis. (After I wrote the review, I saw this appropriate analysis of the first edition.) It covers most of non-Bayesian statistical methods, with forays into exploratory data analysis with tools like principal components, clustering and bagging/boosting. As reflected in the long list of chapters, the coverage is quite extensive and only missing specialised statistical domains like time-series (apart from longitudinal data), econometrics (except for generalised linear models), and signal processing. Beside the absence of a Bayesian perspective (only mentioned in connection with BIC and the mclust package, while the Bayesian formalism would be a natural tool for analysing mixed models), I miss some material on simulation, the only entry found in the book being bootstrap (pages 153-154).

which rightly points out an embarrassing typo in our mixture survey, published in the Handbook of Statistics, volume 25. Indeed, the inequality should be the reverse, $u, as in the other algorithmic boxes of the survey.