Jared S. Murray, Ph.D.

Affiliations: 
2013 Statistical Science Duke University, Durham, NC 
Area:
Statistics
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"Jared Murray"

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Jerome P. Reiter grad student 2013 Duke
 (Some Recent Advances in Non- and Semiparametric Bayesian Modeling with Copulas, Mixtures, and Latent Variables.)
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Publications

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Hahn PR, Murray JS, Carvalho CM. (2020) Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects Bayesian Analysis
Woody S, Carvalho CM, Murray JS. (2020) Model interpretation through lower-dimensional posterior summarization Journal of Computational and Graphical Statistics. 1-9
Murray JS. (2020) Log-Linear Bayesian Additive Regression Trees for Multinomial Logistic and Count Regression Models Journal of the American Statistical Association. 1-35
Murray JS, Reiter JP. (2016) Multiple Imputation of Missing Categorical and Continuous Values via Bayesian Mixture Models With Local Dependence Journal of the American Statistical Association. 111: 1466-1479
Hahn PR, Murray JS, Manolopoulou I. (2016) A Bayesian Partial Identification Approach to Inferring the Prevalence of Accounting Misconduct Journal of the American Statistical Association. 111: 14-26
Murray JS, Dunson DB, Carin L, et al. (2013) Bayesian Gaussian Copula Factor Models for Mixed Data. Journal of the American Statistical Association. 108: 656-665
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