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Andrew Gelman
What Are the Most Important Statistical Ideas of the Past 50 Years?∗ Andrew Gelman† and Aki Vehtari‡ 3 June 2021
Andrew Gelman Is a Professor of Statistics and Political Science and Director of the Applied Statistics Center at Columbia University
2018 Annual Report Alfred P
Frequentist Inference in Weakly Identified Dsge Models
A Glimpse Into the Bayesian Century ...Xiao-Li Meng
Red States Vs. Blue States Going Beyond the Mean
The Disinformation Age
Data Analysis Using Regression and Multilevel/Hierarchical Models Andrew Gelman and Jennifer Hill Frontmatter More Information
Course on Design and Analysis of Sample Surveys 1. Goals for the Students 2. Student Responsibilities
19 Things We Learned from the 2016 Election∗ Andrew Gelman† Julia Azari‡ 19 Sep 2017 We Can All Agree That the Presidential Election Result Was a Shocker
What Is the Probability Your Vote Will Make a Difference?
Induction and Deduction in Bayesian Data Analysis*
The Boxer, the Wrestler, and the Coin Flip
Andrew Gelman
Curriculum Vitae Date: 10/24/2018 PRIISM Center Applied Statistics, Social Science, and the Humanities NYU Steinhardt 246 Greene
Curriculum Vitae Andrew Gelman
The Piranha Problem: Large Effects Swimming in a Small Pond
Many Perspectives on Deborah Mayo's" Statistical Inference As
Top View
American Politics Reading List
The Boxer, the Wrestler, and the Coin Flip: a Paradox of Robust Bayesian Inference and Belief Functions
Retire Statistical Significance Valentin Amrhein Et Al
Using Stacking to Average Bayesian Predictive Distributions
What Are the Most Important Statistical Ideas of the Past 50 Years?∗ 1. The
THE POLLS-A REVIEW I. Introduction
Course on Communicating Data and Statistics 1. Goals for Students 2. Student Responsibilities
Political Analysis Is to Advance the field of Political Two Sides of the Same Coin? Employing Granger Causality Tests Methodology, Broadly Defined
Philosophy and the Practice of Bayesian Statistics
Brief of Amici Curiae Professors Gary King, Bernard Grofman, Andrew Gelman, and Jonathan N. Katz, in Support of Neither Party (1
Holes in Bayesian Statistics∗