P. Richard Hahn
P. Richard Hahn
Verifierad e-postadress på asu.edu
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A national experiment reveals where a growth mindset improves achievement
DS Yeager, P Hanselman, GM Walton, JS Murray, R Crosnoe, C Muller, ...
Nature 573 (7774), 364-369, 2019
2012019
Bayesian regression tree models for causal inference: regularization, confounding, and heterogeneous effects
PR Hahn, JS Murray, C Carvalho
arXiv preprint arXiv:1706.09523, 2017
1132017
Decoupling shrinkage and selection in Bayesian linear models: a posterior summary perspective
PR Hahn, CM Carvalho
Journal of the American Statistical Association 110 (509), 435-448, 2015
972015
Regularization and confounding in linear regression for treatment effect estimation
PR Hahn, CM Carvalho, D Puelz, J He
Bayesian Analysis 13 (1), 163-182, 2018
46*2018
A survey of learning causality with data: Problems and methods
R Guo, L Cheng, J Li, PR Hahn, H Liu
ACM Computing Surveys (CSUR) 53 (4), 1-37, 2020
422020
A sparse factor analytic probit model for congressional voting patterns
P Richard Hahn, CM Carvalho, JG Scott
Journal of the Royal Statistical Society: Series C (Applied Statistics) 61 …, 2012
362012
Efficient sampling for Gaussian linear regression with arbitrary priors
PR Hahn, J He, H Lopes
Journal of Computational and Graphical Statistics, 2018
28*2018
Partial factor modeling: predictor-dependent shrinkage for linear regression
PR Hahn, CM Carvalho, S Mukherjee
Journal of the American Statistical Association 108 (503), 999-1008, 2013
26*2013
XBART: Accelerated Bayesian additive regression trees
J He, S Yalov, PR Hahn
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
23*2019
Variable selection in seemingly unrelated regressions with random predictors
D Puelz, PR Hahn, CM Carvalho
Bayesian Analysis 12 (4), 969-989, 2017
202017
Bayesian factor model shrinkage for linear IV regression with many instruments
PR Hahn, J He, H Lopes
Journal of Business & Economic Statistics 36 (2), 278-287, 2018
152018
Prediction versus inducement and the informational efficiency of going concern opinions
J Gerakos, PR Hahn, A Kovrijnykh, F Zhou
Available at SSRN 2802971, 2016
152016
Atlantic causal inference conference (acic) data analysis challenge 2017
PR Hahn, V Dorie, JS Murray
arXiv preprint arXiv:1905.09515, 2019
142019
A Bayesian partial identification approach to inferring the prevalence of accounting misconduct
PR Hahn, JS Murray, I Manolopoulou
Journal of the American Statistical Association 111 (513), 14-26, 2016
142016
Sparse mean-variance portfolios: A penalized utility approach
D Puelz, PR Hahn, CM Carvalho
arXiv preprint arXiv:1512.02310, 2015
14*2015
Where and for whom can a brief, scalable mindset intervention improve adolescents’ educational trajectories
DS Yeager, P Hanselman, GM Walton, R Crosnoe, C Muller, E Tipton, ...
PsyArXiv Preprints, 2018
132018
A symmetric prior for multinomial probit models
LF Burgette, D Puelz, PR Hahn
Bayesian Analysis, 2020
12*2020
On recursive Bayesian predictive distributions
PR Hahn, R Martin, SG Walker
Journal of the American Statistical Association 113 (523), 1085-1093, 2018
122018
A semiparametric model for assessing cognitive hierarchy theories of beauty contest games
PR Hahn, K Lum, C Mela
Working paper, Duke University, 2010
112010
Post-processing posteriors over precision matrices to produce sparse graph estimates
A Bashir, CM Carvalho, PR Hahn, MB Jones
Bayesian Analysis 14 (4), 1075-1090, 2019
72019
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Artiklar 1–20