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Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly ...
Incorporating new and updated information, this second edition of THE bestselling text in Bayesian data analysis continues to emphasize practice over theory, describing how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include: Stronger focus on MCMC Revision of the computational advice in Part III New chapters on nonlinear models and decision analysis Several additional applied examples from the authors' recent...
After being released from prison and winning South Africa's first free election, Nelson Mandela presided over a country still deeply divided by fifty years of apartheid. His plan was ambitious if not far-fetched: Use the national rugby team, the Springboks--long an embodiment of white supremacist rule--to embody and engage a new South Africa as they prepared to host the 1995 World Cup. The string of wins that followed not only defied the odds, but capped Mandela's miraculous effort to bring South Africans together in a hard-won, enduring bond.
This bold, insightful book argues that America today towers as the most philosophical culture in the history of the world, an unprecedented marketplace for truth and debate. With verve and keen intelligence, Carlin Romano—Pulitzer Prize finalist, award-winning book critic, and professor of philosophy—takes on the widely held belief that the United States is an anti-intellectual country. Instead he provides a richly reported overview of American thought, arguing that ordinary Americans see through phony philosophical justifications faster than anyone else, and that the best of our thinkers ditch artificial academic debates for fresh intellectual enterprises. Along the way, Romano seeks to topple philosophy’s most fiercely admired hero, Socrates, asserting that it is Isocrates, the nearly forgotten Greek philosopher who rejected certainty, whom Americans should honor as their intellectual ancestor. America the Philosophical is a rebellious tour de force that both celebrates our country’s unparalleled intellectual energy and promises to bury some of our most hidebound cultural clichés.
Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new programs in JAGS and Stan. The new programs are designed to be much easier to use than the scripts in the first edition. In particular, there are now compact high-level scripts that make it easy to run the programs on your own data sets. The book is divided into three parts and begins with the basics: models, probability, Bayes' rule, and the R ...
In this book, prominent social scientists describe quantitative models in economics, history, sociology, political science, and psychology.
Now in widespread use, generalized additive models (GAMs) have evolved into a standard statistical methodology of considerable flexibility. While Hastie and Tibshirani's outstanding 1990 research monograph on GAMs is largely responsible for this, there has been a long-standing need for an accessible introductory treatment of the subject that also e
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