P. Richard Hahn

A national experiment reveals where a growth mindset improves achievement

David S. Yeager, Paul Hanselman, Gregory M. Walton et al. · Nature · 2019 · 1.4K citations · Full text

Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects (with Discussion)

P. Richard Hahn, Jared S. Murray, Carlos M. Carvalho · Bayesian Analysis · 2020 · 293 citations · Full text

A Survey of Learning Causality with Data: Problems and Methods

Ruocheng Guo, Lu Cheng, Jundong Li et al. · arXiv (Cornell University) · 2018 · 189 citations · Full text

Learning Causality, Engineering, Machine Learning +19

Decoupling Shrinkage and Selection in Bayesian Linear Models: A Posterior Summary Perspective

P. Richard Hahn, Carlos M. Carvalho · Journal of the American Statistical Association · 2015 · 153 citations

Bayesian Statistic, Engineering, Feature Selection +16

Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects

P. Richard Hahn, Jared S. Murray, Carlos M. Carvalho · SSRN Electronic Journal · 2017 · 134 citations · Full text