Jared Murray

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	Wszystkie	Od 2020
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h-indeks	19	19
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P. Richard HahnArizona State UniversityZweryfikowany adres z asu.edu
David S. YeagerProfessor of Psychology, University of Texas at AustinZweryfikowany adres z austin.utexas.edu
Carlos M. CarvalhoThe University of Texas at AustinZweryfikowany adres z mccombs.utexas.edu
Chandra MullerProfessor of Sociology, University of Texas at AustinZweryfikowany adres z austin.utexas.edu
Chris HullemanUniversity of VirginiaZweryfikowany adres z virginia.edu
Angela DuckworthUniversity of PennsylvaniaZweryfikowany adres z wharton.upenn.edu
Gregory M. WaltonProfessor of Psychology, Stanford UniversityZweryfikowany adres z stanford.edu
Robert CrosnoeDepartment of Sociology and Population Research Center, University of Texas at AustinZweryfikowany adres z austin.utexas.edu
Elizabeth TiptonNorthwestern UniversityZweryfikowany adres z northwestern.edu
Paul HanselmanAssociate Professor of Sociology, University of California, IrvineZweryfikowany adres z uci.edu
Spencer WoodyAmgen IncZweryfikowany adres z utexas.edu
Pratik MhatreThe University of Texas at AustinZweryfikowany adres z utexas.edu
Barbara SchneiderMichigan State UniversityZweryfikowany adres z msu.edu
Maithreyi GopalanAssociate ProfessorZweryfikowany adres z uoregon.edu
Christopher BryanUniversity of Texas at Austin, McCombs School of BusinessZweryfikowany adres z mccombs.utexas.edu
Sophia YangUniversity of Texas at AustinZweryfikowany adres z utexas.edu
Cintia Preciado HinojosaPh.D., SPARQ Postdoctoral Education Fellow, Stanford UniversityZweryfikowany adres z stanford.edu
Carissa RomeroGraduate Student, Stanford UniversityZweryfikowany adres z stanford.edu
Jeremy P. JamiesonDepartment of Psychology, University of RochesterZweryfikowany adres z rochester.edu
Antonio R LineroUniversity of Texas at AustinZweryfikowany adres z austin.utexas.edu

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Jared Murray

Associate Professor of Statistics and Machine Learning, University of Texas at Austin

Zweryfikowany adres z mccombs.utexas.edu - Strona główna


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	1766	2019
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	596	2020
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	313	2021
Multiple Imputation: A Review of Practical and Theoretical Findings JS Murray Statistical Science 33 (2), 142-159, 2018	247	2018
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	226	2020
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	185	2013
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	160	2022
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	124	2016
Log-linear Bayesian additive regression trees for multinomial Logistic and count regression models JS Murray Journal of the American Statistical Association, 1-35, 2020	118*	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	75*	2020
Model interpretation through lower-dimensional posterior summarization S Woody, CM Carvalho, JS Murray Journal of Computational and Graphical Statistics, 1-9, 2020	66	2020
Atlantic Causal Inference Conference (ACIC) Data Analysis Challenge 2017 PR Hahn, V Dorie, JS Murray arXiv preprint arXiv:1905.09515, 2019	65	2019
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	60	2019
Why Meta-Analyses of Growth Mindset and Other Interventions Should Follow Best Practices for Examining Heterogeneity E Tipton, J Murray, B Schneider, DS Yeager	58*	2022
Probabilistic Record Linkage and Deduplication after Indexing, Blocking, and Filtering JS Murray Journal of Privacy and Confidentiality 7 (1), 2016	58	2016
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
Adaptive conditional distribution estimation with bayesian decision tree ensembles Y Li, AR Linero, J Murray Journal of the American Statistical Association, 1-32, 2022	32	2022
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	29	2021
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	27	2016
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	19	2020

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