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Bayesian Data Analysis
Winner of the 2016 De Groot Prize from the International Society for Bayesian AnalysisNow 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
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.
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...
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 ...
Class Mom
Laurie Gelman’s clever debut novel about a year in the life of a kindergarten class mom—a brilliant send-up of the petty and surprisingly cutthroat terrain of parent politics. Jen Dixon is not your typical Kansas City kindergarten class mom—or mom in general. Jen already has two college-age daughters by two different (probably) musicians, and it’s her second time around the class mom block with five-year-old Max—this time with a husband and father by her side. Though her best friend and PTA President sees her as the “wisest” candidate for the job (or oldest), not all of the other parents agree. From recording parents’ response times to her emails about helping in the classroo...
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.
The Book of Why
A pioneer of artificial intelligence shows how the study of causality revolutionized science and the world 'Correlation does not imply causation.' This mantra was invoked by scientists for decades in order to avoid taking positions as to whether one thing caused another, such as smoking and cancer and carbon dioxide and global warming. But today, that taboo is dead. The causal revolution, sparked by world-renowned computer scientist Judea Pearl and his colleagues, has cut through a century of confusion and placed cause and effect on a firm scientific basis. Now, Pearl and science journalist Dana Mackenzie explain causal thinking to general readers for the first time, showing how it allows us to explore the world that is and the worlds that could have been. It is the essence of human and artificial intelligence. And just as Pearl's discoveries have enabled machines to think better, The Book of Why explains how we can think better.
A Quantitative Tour of the Social Sciences
In this book, prominent social scientists describe quantitative models in economics, history, sociology, political science, and psychology.
Teaching Statistics
Students in the sciences, economics, social sciences, and medicine take an introductory statistics course. And yet statistics can be notoriously difficult for instructors to teach and for students to learn. To help overcome these challenges, 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, activities, examples, and projects that involve active student participation. Part I of the book presents a large selection of activities for introductory statistics courses and has chapters such as 'First week of class'-- with exercises to break the ice and get students talking; then descript...
