Jared Murray

University of Texas at Austin - Red McCombs School of Business

Assistant Professor of Statistics

Austin, TX 78712

United States

SCHOLARLY PAPERS

4

DOWNLOADS

608

TOTAL CITATIONS
Rank 43,729

SSRN RANKINGS

Top 43,729

in Total Papers Citations

23

Scholarly Papers (4)

1.

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

Number of pages: 31 Posted: 06 Oct 2017 Last Revised: 22 Jul 2018
Arizona State University (ASU) - School of Mathematical and Statistical Sciences, University of Texas at Austin - Red McCombs School of Business and University of Texas at Austin - McCombs School of Business
Downloads 278 (223,649)
Citation 22

Abstract:

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causal inference, treatment effects, heterogeneous effects, subgroup effects, tree methods, Bayesian, nonparametric regression, nonlinear regression

2.

Global Mindset Initiative Paper 4: Research Infrastructure and Study Design

Number of pages: 27 Posted: 27 Aug 2021
Northwestern University, Northwestern University, University of Texas at Austin - Department of Psychology, University of Texas at Austin - Red McCombs School of Business and Pennsylvania State University
Downloads 221 (280,454)

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randomized controlled trials, meta-analysis, power analysis, Bayesian analysis, heterogeneity, R&D infrastructure

3.

A Bayesian Partial Identification Approach to Inferring the Prevalance of Accounting Misconduct

Hahn, P. Richard, Jared S. Murray, and Ioanna Manolopoulou. "A Bayesian partial identification approach to inferring the prevalence of accounting misconduct." Journal of the American Statistical Association (2016): 1-37, Forthcoming
Number of pages: 40 Posted: 10 Feb 2016
Arizona State University (ASU) - School of Mathematical and Statistical Sciences, University of Texas at Austin - Red McCombs School of Business and University College London - Department of Statistical Science
Downloads 109 (507,441)
Citation 1

Abstract:

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Bayesian inference, nonlinear regression, partial identification, sampling bias, sensitivity analysis, set identification

4.

Bayesian Additive Regression Trees: A Review and Look Forward

Annual Review of Statistics and Its Application, Vol. 7, Issue 1, pp. 251-278, 2020
Posted: 12 Mar 2020
Jennifer Hill, Antonio Linero and Jared Murray
New York University (NYU), University of Texas and University of Texas at Austin - Red McCombs School of Business

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