Carlos M. Carvalho

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P. Richard HahnArizona State UniversityVerified email at asu.edu
James G. ScottProfessor of Statistics and Data Science, University of Texas at AustinVerified email at mccombs.utexas.edu
Mike WestDuke UniversityVerified email at nc.rr.com
Jared MurrayAssistant Professor of Statistics, University of Texas at AustinVerified email at mccombs.utexas.edu
Nick PolsonProfessor of Econometrics and Statistics, University of ChicagoVerified email at chicagobooth.edu
Hedibert Freitas LopesProfessor of Statistics and Econometrics - INSPER Institute of Education and ResearchVerified email at insper.edu.br
Quanli WangAstraZenecaVerified email at astrazeneca.com
Jeffrey T. ChangAssociate Professor of Integrative Biology & Pharmacology, University of Texas Health Science CenterVerified email at uth.tmc.edu
Christopher HansAssociate Professor of Statistics, The Ohio State UniversityVerified email at stat.osu.edu
Michael JohannesProfessor of Finance, Columbia UniversityVerified email at gsb.columbia.edu
Beatrix JonesAssociate Professor, Statistics, University of AucklandVerified email at auckland.ac.nz
Jennifer E StarlingMathematica Inc.Verified email at mathematica-mpr.com
Adrian DobraProfessor of Statistics, University of WashingtonVerified email at uw.edu
Hao WangCitadelVerified email at msu.edu
Jingyu HeCity University of Hong KongVerified email at cityu.edu.hk
Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. Texas at Austin; Faculty Dell Med, UT-Comp. Sc., McCombsVerified email at utexas.edu
Yubin ParkBonsai ResearchVerified email at utexas.edu
Daniel MerlLawrence Livermore National LaboratoryVerified email at llnl.gov
Jen-Tsan Ashley ChiDuke UniversityVerified email at duke.edu
Joyce C HoEmory UniversityVerified email at emory.edu

Carlos M. Carvalho

The University of Texas at Austin

Verified email at mccombs.utexas.edu - Homepage

Professor of Statistics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
The horseshoe estimator for sparse signals CM Carvalho, NG Polson, JG Scott Biometrika 97 (2), 465-480, 2010	1625	2010
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	1602	2019
Handling sparsity via the horseshoe CM Carvalho, NG Polson, JG Scott Artificial intelligence and statistics, 73-80, 2009	723	2009
High-dimensional sparse factor modeling: applications in gene expression genomics CM Carvalho, J Chang, JE Lucas, JR Nevins, Q Wang, M West Journal of the American Statistical Association 103 (484), 1438-1456, 2008	662	2008
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	550	2020
Particle learning and smoothing CM Carvalho, MS Johannes, HF Lopes, NG Polson	478	2010
Experiments in stochastic computation for high-dimensional graphical models B Jones, C Carvalho, A Dobra, C Hans, C Carter, M West	332	2005
Dynamic matrix-variate graphical models CM Carvalho, M West	208	2007
Decoupling shrinkage and selection in Bayesian linear models: a posterior summary perspective PR Hahn, CM Carvalho Journal of the American Statistical Association 110 (509), 435-448, 2015	204	2015
Methods, system, and computer program products for developing and using predictive models for predicting a plurality of medical outcomes, for evaluating intervention strategies … J Langheier, C Hans, C Carvalho, R Snyderman US Patent App. 11/323,460, 2006	197	2006
Sparse statistical modelling in gene expression genomics J Lucas, C Carvalho, Q Wang, A Bild, JR Nevins, M West Bayesian inference for gene expression and proteomics 1 (1), 1644, 2006	179	2006
Flexible covariance estimation in graphical Gaussian models B Rajaratnam, H Massam, CM Carvalho	163	2008
Simulation-based sequential analysis of Markov switching stochastic volatility models CM Carvalho, HF Lopes Computational Statistics & Data Analysis 51 (9), 4526-4542, 2007	158	2007
Objective Bayesian model selection in Gaussian graphical models CM Carvalho, JG Scott Biometrika 96 (3), 497-512, 2009	155	2009
Feature-inclusion stochastic search for Gaussian graphical models JG Scott, CM Carvalho Journal of Computational and Graphical Statistics 17 (4), 790-808, 2008	155	2008
Factor stochastic volatility with time varying loadings and Markov switching regimes HF Lopes, CM Carvalho Journal of Statistical Planning and Inference 137 (10), 3082-3091, 2007	142	2007
A genomic strategy to elucidate modules of oncogenic pathway signaling networks JT Chang, C Carvalho, S Mori, AH Bild, ML Gatza, Q Wang, JE Lucas, ... Molecular cell 34 (1), 104-114, 2009	139	2009
Simulation of hyper-inverse Wishart distributions in graphical models CM Carvalho, H Massam, M West Biometrika 94 (3), 647-659, 2007	130	2007
Regularization and confounding in linear regression for treatment effect estimation PR Hahn, CM Carvalho, D Puelz, J He	124	2018
Particle learning for general mixtures CM Carvalho, HF Lopes, NG Polson, MA Taddy	89	2010

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