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Bayesian Data Analysis, Third Edition
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 ...
Bayesian Data Analysis, Second Edition
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...
Data Analysis Using Regression and Multilevel/Hierarchical Models
This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.
Regression and Other Stories
A practical approach to using regression and computation to solve real-world problems of estimation, prediction, and causal inference.
Teaching Statistics
Students in the sciences, economics, psychology, social sciences, and medicine take introductory statistics. Statistics is increasingly offered at the high school level as well. However, statistics can be notoriously difficult to teach as it is seen by many students as difficult and boring, if not irrelevant to their subject of choice. To help dispel these misconceptions, Gelman and Nolan have put together this fascinating and thought-provoking book. Based on years of teaching experience the book provides a wealth of demonstrations, examples and projects that involve active student participation. Part I of the book presents a large selection of activities for introductory statistics courses ...
Teaching Statistics
To help overcome the challenges of teaching statistics across various diciplines, Gelman and Nolan have put together this fascinating and thought-provoking book based on years of teaching experience.
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 inference. Covering new research topics and real-world examples which do not feature in many standard texts. The book is dedicated to Professor Don Rubin (Harvard). Don Rubin has made fundamental contributions to the study of missing data. Key features of the book include: Comprehensive coverage of an imporant area for both research and applications. Adopts a pragmatic approach to describing a wide range of intermediate and advanced statistical techniques. Covers key topics such as multiple imputation, propensity scores, instrumental variables and Bayesian inference. Includes a number of applications from the social and health sciences. Edited and authored by highly respected researchers in the area.
Tales of a Female Nomad
The true story of an ordinary woman living an extraordinary existence all over the world. “Gelman doesn’t just observe the cultures she visits, she participates in them, becoming emotionally involved in the people’s lives. This is an amazing travelogue.” —Booklist At the age of forty-eight, on the verge of a divorce, Rita Golden Gelman left an elegant life in L.A. to follow her dream of travelling the world, connecting with people in cultures all over the globe. In 1986, Rita sold her possessions and became a nomad, living in a Zapotec village in Mexico, sleeping with sea lions on the Galapagos Islands, and residing everywhere from thatched huts to regal palaces. She has observed orangutans in the rain forest of Borneo, visited trance healers and dens of black magic, and cooked with women on fires all over the world. Rita’s example encourages us all to dust off our dreams and rediscover the joy, the exuberance, and the hidden spirit that so many of us bury when we become adults.
What I Was Thinking
Simon Gelman started to think about writing a book seventeen years ago, at the end of his chairmanship. Initially, he saw quite a few obstacles. His hesitations were related to his lack of knowledge of the English language, lack of knowledge of American culture, and lack (rather a complete absence) of experience in writing nonmedical text. Over the years, the conceived idea was maturing, and the question of whether writing the book or not gradually converted into how to write it. Gelman managed to overcome the uncertainties and decided just to tell the story. The first chapter of the book is a memoir. However, it is written as a retrospective analysis of the thoughts Gelman had and actions h...
New Explorations Into International Relations
This book addresses a range of issues surrounding the search for scientific truths in the study of international conflict and international political economy. Unlike empirical studies in other disciplines, says Seung-Whan Choi, many political studies seem more competent at presenting theoretical conjecture and hypotheses than they are at performing rigorous empirical analyses. When we study global issues like democratic institutions, flows of foreign direct investment, international terrorism, civil wars, and international conflict, we often uncritically adopt established theoretical frameworks and research designs. The natural assumption is that well-known and widely cited studies, once ing...
