- Jingyu He, Saar Yalov, and PRH Accelerated Bayesian additive regression trees. Accepted at Artificial Intelligence and Statistics, 2019.
- Amir Bashir, Carlos M. Carvalho, PRH, and M. Beatrix Jones. Post-Processing Posteriors Over Precision Matrices to Produce Sparse Graph Estimates. Accepted at Bayesian Analysis.
- PRH, Jingyu He and Hedibert Lopes. Efficient sampling for Gaussian linear regression with arbitrary priors. ( Demo script.)
- PRH, Ryan Martin and Stephen G. Walker. On recursive predictive distributions. Journal of the American Statistical Association, forthcoming.
- David Puelz, PRH, and Carlos M. Carvalho. Variable selection in seemingly unrelated regressions with random predictors. Bayesian analysis, forthcoming.
- PRH, Carlos M. Carvalho, Jingyu He and David Puelz. Regularization and confounding in linear regression for treatment effect estimation. Bayesian analysis, forthcoming.
- PRH, Jingyu He, and Hedibert Lopes (2016). Bayesian factor model shrinkage for linear IV regression with many instruments. Journal of Business and Economic Statistics, forthcoming.
- PRH, J. S. Murray, and I. Manolopoulou (2016). A Bayesian partial identification approach to inferring the prevalence of accounting misconduct . Journal of the American Statistical Association, 111 (513), 14-26.
- PRH, Carl F. Mela, and Indranil Goswami (2015). A Bayesian hierarchical model for inferring player strategy types in a number guessing game. Annals of Applied Statistics 2015, Vol. 9, No. 3, 1459-1483. (supplement, data, read-me file, code)
- PRH and Carlos M. Carvalho (2015). Decoupling shrinkage and selection in Bayesian linear models: a posterior summary perspective. Journal of the American Statistical Association 110 (509), 435-448.
- PRH, Sayan Mukherjee, and Carlos M. Carvalho (2013). Partial Factor Modeling: Predictor Dependent Shrinkage for Linear Regression. Journal of the American Statistical Association 108 (503), 999-1008.
- PRH, James Scott, and Carlos M. Carvalho (2012). A sparse factor-analytic probit model for congressional voting patterns. Journal of the Royal Statistical Society: Series C 61 (4), 619-635.

- PRH, Jared S. Murray, and Carlos M. Carvalho. Bayesian regression tree models for causal inference: regularization, confounding, and heterogeneous effects.
- Michelle Xia and PRH. A finite mixture model approach to regression under covariate misclassification.
- PRH. Predictivist Bayes density estimation.

- David Puelz, PRH, Carlos M. Carvalho. Regret-based selection for sparse dynamic portfolios
- Joseph Gerakos, PRH, Andrei Kovrijnykh, and Frank Zhou. Prediction versus Inducement and the Informational Efficiency of Going Concern Opinions
- PRH. On the risk of borrowing information.
- PRH and Lane F. Burgette. An approximate likelihood for simultaneous nonlinear quantile regression
- Lane F. Burgette and PRH. A symmetric prior for multinomial probit models