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Jared Murray
Jared Murray
Assistant Professor of Statistics, University of Texas at Austin
Bestätigte E-Mail-Adresse bei mccombs.utexas.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
16042019
Bayesian regression tree models for causal inference: Regularization, confounding, and heterogeneous effects (with discussion)
PR Hahn, JS Murray, CM Carvalho
Bayesian Analysis 15 (3), 965-1056, 2020
5542020
Teacher Mindsets Help Explain Where a Growth-Mindset Intervention Does and Doesn’t Work
DS Yeager, JM Carroll, J Buontempo, A Cimpian, S Woody, R Crosnoe, ...
Psychological science, 09567976211028984, 2021
2592021
Multiple Imputation: A Review of Practical and Theoretical Findings
JS Murray
Statistical Science 33 (2), 142-159, 2018
2342018
Bayesian additive regression trees: A review and look forward
J Hill, A Linero, J Murray
Annual Review of Statistics and Its Application 7 (1), 251-278, 2020
1952020
Bayesian Gaussian copula factor models for mixed data
JS Murray, DB Dunson, L Carin, JE Lucas
Journal of the American Statistical Association 108 (502), 656-665, 2013
1802013
A synergistic mindsets intervention protects adolescents from stress
DS Yeager, CJ Bryan, JJ Gross, JS Murray, D Krettek Cobb, P HF Santos, ...
Nature, 1-9, 2022
1242022
Multiple imputation of missing categorical and continuous values via Bayesian mixture models with local dependence
JS Murray, JP Reiter
Journal of the American Statistical Association 111 (516), 1466-1479, 2016
1212016
Log-linear Bayesian additive regression trees for multinomial Logistic and count regression models
JS Murray
Journal of the American Statistical Association, 1-35, 2020
110*2020
Bart with targeted smoothing: An analysis of patient-specific stillbirth risk
JE Starling, JS Murray, CM Carvalho, RK Bukowski, JG Scott
Annals of Applied Statistics 14 (1), 28-50, 2020
74*2020
Model interpretation through lower-dimensional posterior summarization
S Woody, CM Carvalho, JS Murray
Journal of Computational and Graphical Statistics, 1-9, 2020
602020
Atlantic Causal Inference Conference (ACIC) Data Analysis Challenge 2017
PR Hahn, V Dorie, JS Murray
arXiv preprint arXiv:1905.09515, 2019
582019
Assessing treatment effect variation in observational studies: Results from a data challenge
C Carvalho, A Feller, J Murray, S Woody, D Yeager
Observational Studies 5 (2), 21-35, 2019
572019
Probabilistic Record Linkage and Deduplication after Indexing, Blocking, and Filtering
JS Murray
Journal of Privacy and Confidentiality 7 (1), 2016
552016
Why Meta-Analyses of Growth Mindset and Other Interventions Should Follow Best Practices for Examining Heterogeneity
E Tipton, J Murray, B Schneider, DS Yeager
43*2022
Scaling Bayesian Probabilistic Record Linkage with Post-Hoc Blocking: An Application to the California Great Registers
BS McVeigh, BT Spahn, JS Murray
arXiv preprint arXiv:1905.05337, 2019
35*2019
Targeted Smooth Bayesian Causal Forests: An analysis of heterogeneous treatment effects for simultaneous vs. interval medical abortion regimens over gestation
JE Starling, JS Murray, PA Lohr, ARA Aiken, CM Carvalho, JG Scott
The Annals of Applied Statistics 15 (3), 1194-1219, 2021
292021
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
272016
Adaptive conditional distribution estimation with bayesian decision tree ensembles
Y Li, AR Linero, J Murray
Journal of the American Statistical Association, 1-32, 2022
262022
Estimating heterogeneous effects of continuous exposures using Bayesian tree ensembles: revisiting the impact of abortion rates on crime
S Woody, CM Carvalho, PR Hahn, JS Murray
arXiv preprint arXiv:2007.09845, 2020
192020
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