WorldCat Identities

Gelman, Andrew

Overview
Works: 59 works in 373 publications in 2 languages and 8,450 library holdings
Genres: Case studies  Software  Handbooks and manuals  Textbooks 
Roles: Author, Editor, Other
Publication Timeline
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Most widely held works about Andrew Gelman
 
Most widely held works by Andrew Gelman
Red state, blue state, rich state, poor state : why Americans vote the way they do by Andrew Gelman( )

24 editions published between 2008 and 2010 in English and held by 2,411 WorldCat member libraries worldwide

" ... Gets to the bottom of why Democrats win elections in wealthy states while Republicans draw richer voters; how the real culture war is being waged among affluent Democrats and Republicans, not between the haves and have-nots--and much more. Gelman uses eye-opening, easy-to-read graphics to unravel the mystifying patterns of recent voting, painting a vivd portrait of the regional differences that drive American politics"--Page 2 of cover
Bayesian data analysis by Andrew Gelman( Book )

94 editions published between 1995 and 2016 in English and held by 1,878 WorldCat member libraries worldwide

The second edition of Bayesian Data Analysis continues to emphasize practice over theory, clearly describing how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Its world-class authors provide detailed guidance on all aspects of Bayesian data analysis and include many examples of real statistical analyses, based on their own research
Teaching statistics : a bag of tricks by Andrew Gelman( Book )

43 editions published between 2002 and 2017 in English and held by 1,292 WorldCat member libraries worldwide

"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 descriptive statistics, linear regression, data collection (sampling and experimentation), probability, inference, and statistical communication. Part II gives tips on what works and what doesn't, how to set up effective demonstrations and examples, how to encourage students to participate in class and to work effectively in group projects. A sample course plan is provided. Part III presents material for more advanced courses on topics such as decision theory, Bayesian statistics and sampling."--Jacket
Data analysis using regression and multilevel/hierarchical models by Andrew Gelman( Book )

41 editions published between 2006 and 2017 in English and held by 798 WorldCat member libraries worldwide

"Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors' own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout"--Publisher description
Applied Bayesian modeling and causal inference from incomplete-data perspectives : an essential journey with Donald Rubin's statistical family( )

15 editions published in 2004 in English and held by 786 WorldCat member libraries worldwide

"Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives presents an overview with applied examples of these key topics suitable for researchers in all areas of statistics. It adopts a practical approach suitable for applied statisticians working in social and political sciences, biological and medical sciences, and physical sciences, as well as graduate students of statistics and biostatistics."--Jacket
A quantitative tour of the social sciences by Andrew Gelman( Book )

18 editions published between 2008 and 2009 in English and German and held by 464 WorldCat member libraries worldwide

This overview gives an accessible, non-technical sense of how quantitative research is done in the social sciences. Upon finishing this book, the reader should have a sense of the different models and different ways of thinking in economics, history, sociology, political science and psychology
An experimental study of storable votes by Alessandra Casella( Book )

17 editions published in 2003 in English and held by 112 WorldCat member libraries worldwide

The storable votes mechanism is a method of voting for committees that meet periodically to consider a series of binary decisions. Each member is allocated a fixed budget of votes to be cast as desired over the multiple decisions. Voters are induced to spend more votes on those decisions that matter to them most, shifting the ex ante probability of winning away from decisions they value less and towards decisions they value more, typically generating welfare gains over standard majority voting with non-storable votes. The equilibrium strategies have a very intuitive feature--the number of votes cast must be monotonic in the voter's intensity of preferences--but are otherwise difficult to calculate, raising questions of practical implementation. In our experiments, realized efficiency levels were remarkably close to theoretical equilibrium predictions, while subjects adopted monotonic but off-equilibrium strategies. We are lead to conclude that concerns about the complexity of the game may have limited practical relevance
Case Studies in Bayesian Statistics : Volume IV by Constantine Gatsonis( )

2 editions published between 1999 and 2002 in English and held by 108 WorldCat member libraries worldwide

While most of the case studies in this volume come from biomedical research, the reader will also find studies in environmental science and marketing research. The 4th Workshop on Case Studies in Bayesian Statistics was held at Carnegie-Mellon University September 27-28, 1997. As in the past, the workshop featured both invited and contributed case studies. The former were presented in detail while the latter were presented in poster format. This volume contains the four invited case studies with the accompanying discussion as well as nine contributed papers selected by a refereeing process
A simple scheme to improve the efficiency of referenda by Alessandra Casella( )

16 editions published in 2005 in English and held by 104 WorldCat member libraries worldwide

This paper proposes a simple scheme designed to elicit and reward intensity of preferences in referenda: voters faced with a number of binary proposals are given one regular vote for each proposal plus an additional number of bonus votes to cast as desired. Decisions are taken according to the majority of votes cast. In our base case, where there is no systematic difference between proposals' supporters and opponents, there is always a positive number of bonus votes such that ex ante utility is increased by the scheme, relative to simple majority voting. When the distributions of valuations of supporters and opponents differ, the improvement in efficiency is guaranteed only if the distributions can be ranked according to first order stochastic dominance. If they are, however, the existence of welfare gains is independent of the exact number of bonus votes
Voting as a rational choice : why and how people vote to improve the well-being of others by Aaron S Edlin( )

9 editions published in 2007 in English and held by 67 WorldCat member libraries worldwide

For voters with "social" preferences, the expected utility of voting is approximately independent of the size of the electorate, suggesting that rational voter turnouts can be substantial even in large elections. Less important elections are predicted to have lower turnout, but a feedback mechanism keeps turnout at a reasonable level under a wide range of conditions. The main contributions of this paper are: (1) to show how, for an individual with both selfish and social preferences, the social preferences will dominate and make it rational for a typical person to vote even in large elections;(2) to show that rational socially-motivated voting has a feedback mechanism that stabilizes turnout at reasonable levels (e.g., 50% of the electorate); (3) to link the rational social-utility model of voter turnout with survey findings on socially-motivated vote choice
What is the probability your vote will make a difference? by Andrew Gelman( )

8 editions published in 2009 in English and held by 64 WorldCat member libraries worldwide

One of the motivations for voting is that one vote can make a difference. In a presidential election, the probability that your vote is decisive is equal to the probability that your state is necessary for an electoral college win, times the probability the vote in your state is tied in that event. We computed these probabilities a week before the 2008 presidential election, using state-by-state election forecasts based on the latest polls. The states where a single vote was most likely to matter are New Mexico, Virginia, New Hampshire, and Colorado, where your vote had an approximate 1 in 10 million chance of determining the national election outcome. On average, a voter in America had a 1 in 60 million chance of being decisive in the presidential election
Why ask Why? Forward Causal Inference and Reverse Causal Questions by Andrew Gelman( )

6 editions published in 2013 in English and held by 46 WorldCat member libraries worldwide

The statistical and econometrics literature on causality is more focused on "effects of causes" than on "causes of effects." That is, in the standard approach it is natural to study the effect of a treatment, but it is not in general possible to define the causes of any particular outcome. This has led some researchers to dismiss the search for causes as "cocktail party chatter" that is outside the realm of science. We argue here that the search for causes can be understood within traditional statistical frameworks as a part of model checking and hypothesis generation. We argue that it can make sense to ask questions about the causes of effects, but the answers to these questions will be in terms of effects of causes
Why high-order polynomials should not be used in regression discontinuity designs by Andrew Gelman( )

5 editions published in 2014 in English and held by 45 WorldCat member libraries worldwide

It is common in regression discontinuity analysis to control for high order (third, fourth, or higher) polynomials of the forcing variable. We argue that estimators for causal effects based on such methods can be misleading, and we recommend researchers do not use them, and instead use estimators based on local linear or quadratic polynomials or other smooth functions
Sexual assault and sexual harassment in the U.S. military : estimates for installation- and command-level risk of sexual assault and sexual harassment from the 2014 RAND Military Workplace Study by Andrew R Morral( )

3 editions published in 2018 in English and held by 39 WorldCat member libraries worldwide

In early 2014, the Department of Defense Sexual Assault Prevention and Response Office asked the RAND National Defense Research Institute to conduct an independent assessment of the rates of sexual assault, sexual harassment, and gender discrimination in the military-an assessment last conducted in 2012 by the Department of Defense using the Workplace and Gender Relations Survey of Active Duty Members. The resulting RAND Military Workplace Study invited close to 560,000 U.S. service members to participate in a survey fielded in August and September of 2014. This volume presents survey estimates of how risk of sexual assault and sexual harassment varies across military installations and major commands. The researchers find that risk of sexual assault and harassment varies across installations and commands and that these differences are sometimes large. Patterns in these risk estimates offer important insights into the types of environments where service members are most or least likely to be sexually assaulted or harassed. The results may also provide clues about the conditions that contribute to sexual assault risk and about strategies that could be used to prevent sexual assault and harassment
Enhancing Democracy Through Legislative Redistricting by Andrew Gelman( )

5 editions published between 1995 and 1996 in English and No Linguistic content and held by 33 WorldCat member libraries worldwide

These data and/or computer programs are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the INVESTIGATOR(S) if further information is desired
Unified Method of Evaluating Electoral Systems and Redistricting Plans : United States House of Representatives and Ohio State Legislature by Andrew Gelman( )

4 editions published in 1996 in English and No Linguistic content and held by 32 WorldCat member libraries worldwide

These data and/or computer programs are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the INVESTIGATOR(S) if further information is desired
JudgeIT : a Program for Evaluating Electoral Systems and Redistricting Plans by Andrew Gelman( )

2 editions published in 1996 in No Linguistic content and English and held by 27 WorldCat member libraries worldwide

These data and/or computer programs are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the INVESTIGATOR(S) if further information is desired
Bayesian Data Analysis by Andrew Gelman( )

2 editions published in 2013 in English and held by 22 WorldCat member libraries worldwide

Handbook of Markov chain Monte Carlo by Steve Brooks( Book )

6 editions published in 2011 in English and held by 19 WorldCat member libraries worldwide

Since their popularization in the 1990s, Markov chain Monte Carlo (MCMC) methods have revolutionized statistical computing and have had an especially profound impact on the practice of Bayesian statistics. Furthermore, MCMC methods have enabled the development and use of intricate models in an astonishing array of disciplines as diverse as fisheries science and economics. The wide-ranging practical importance of MCMC has sparked an expansive and deep investigation into fundamental Markov chain theory. The Handbook of Markov Chain Monte Carlo provides a referenc
Protecting minorities in binary elections : a test of storable votes using field data by Alessandra Casella( )

7 editions published in 2008 in English and held by 16 WorldCat member libraries worldwide

Democratic systems are built, with good reason, on majoritarian principles, but their legitimacy requires the protection of strongly held minority preferences. The challenge is to do so while treating every voter equally and preserving aggregate welfare. One possible solution is Storable Votes : granting each voter a budget of votes to cast as desired over multiple decisions. During the 2006 student elections at Columbia University, we tested a simple version of this idea: voters were asked to rank the importance of the different contests and to choose where to cast a single extra "bonus vote, " had one been available. We used these responses to construct distributions of intensities and electoral outcomes, both without and with the bonus vote. Bootstrapping techniques provided estimates of the probable impact of the bonus vote. The bonus vote performs well: when minority preferences are particularly intense, the minority wins at least one of the contests with 15--30 percent probability; and, when the minority wins, aggregate welfare increases with 85--95 percent probability. When majority and minority preferences are equally intense, the effect of the bonus vote is smaller and more variable but on balance still positive
 
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Red state, blue state, rich state, poor state : why Americans vote the way they do
Covers
Bayesian data analysisTeaching statistics : a bag of tricksData analysis using regression and multilevel/hierarchical modelsApplied Bayesian modeling and causal inference from incomplete-data perspectives : an essential journey with Donald Rubin's statistical familyA quantitative tour of the social sciencesBayesian Data AnalysisHandbook of Markov chain Monte Carlo
Alternative Names
Andrew Gelman American mathematician

Andrew Gelman Amerikaans wiskundige

Andrew Gelman amerikansk statistiker

Andrew Gelman matemático estadounidense

Andrew Gelman statisticien et politologue américain

Andrew Gelman statistico statunitense

Andrew Gelman US-amerikanischer Statistiker und Politikwissenschaftler, Hochschullehrer

Gelman, A. 1965-

Андрій Гельман

Эндрю Гельман

Languages
English (324)

German (1)