Carlos M. Carvalho
Carlos M. Carvalho
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The horseshoe estimator for sparse signals
CM Carvalho, NG Polson, JG Scott
Biometrika 97 (2), 465-480, 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
Handling sparsity via the horseshoe
CM Carvalho, NG Polson, JG Scott
Artificial intelligence and statistics, 73-80, 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
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
Particle learning and smoothing
CM Carvalho, MS Johannes, HF Lopes, NG Polson
Experiments in stochastic computation for high-dimensional graphical models
B Jones, C Carvalho, A Dobra, C Hans, C Carter, M West
Dynamic matrix-variate graphical models
CM Carvalho, M West
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
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
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
Flexible covariance estimation in graphical Gaussian models
B Rajaratnam, H Massam, CM Carvalho
Feature-inclusion stochastic search for Gaussian graphical models
JG Scott, CM Carvalho
Journal of Computational and Graphical Statistics 17 (4), 790-808, 2008
Simulation-based sequential analysis of Markov switching stochastic volatility models
CM Carvalho, HF Lopes
Computational Statistics & Data Analysis 51 (9), 4526-4542, 2007
Objective Bayesian model selection in Gaussian graphical models
CM Carvalho, JG Scott
Biometrika 96 (3), 497-512, 2009
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
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
Simulation of hyper-inverse Wishart distributions in graphical models
CM Carvalho, H Massam, M West
Biometrika 94 (3), 647-659, 2007
Regularization and confounding in linear regression for treatment effect estimation
PR Hahn, CM Carvalho, D Puelz, J He
Particle learning for general mixtures
CM Carvalho, HF Lopes, NG Polson, MA Taddy
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