Carlos M. Carvalho
Carlos M. Carvalho
Verified email at - Homepage
Cited by
Cited by
The horseshoe estimator for sparse signals
CM Carvalho, NG Polson, JG Scott
Biometrika 97 (2), 465-480, 2010
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
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
Particle learning and smoothing
CM Carvalho, MS Johannes, HF Lopes, NG Polson
Statistical Science 25 (1), 88-106, 2010
Handling sparsity via the horseshoe
CM Carvalho, NG Polson, JG Scott
Artificial Intelligence and Statistics, 73-80, 2009
Experiments in stochastic computation for high-dimensional graphical models
B Jones, C Carvalho, A Dobra, C Hans, C Carter, M West
Statistical Science, 388-400, 2005
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
Dynamic matrix-variate graphical models
CM Carvalho, M West
Bayesian analysis 2 (1), 69-97, 2007
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), 2006
Simulation-based sequential analysis of Markov switching stochastic volatility models
CM Carvalho, HF Lopes
Computational Statistics & Data Analysis 51 (9), 4526-4542, 2007
Flexible covariance estimation in graphical Gaussian models
B Rajaratnam, H Massam, CM Carvalho
The Annals of Statistics 36 (6), 2818-2849, 2008
Feature-inclusion stochastic search for Gaussian graphical models
JG Scott, CM Carvalho
Journal of Computational and Graphical Statistics 17 (4), 790-808, 2008
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
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
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
Simulation of hyper-inverse Wishart distributions in graphical models
CM Carvalho, H Massam, M West
Biometrika 94 (3), 647-659, 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
Particle learning for sequential Bayesian computation
J Bernardo, M Bayarri, J Berger, A Dawid, D Heckerman, A Smith, M West
Bayesian statistics 9 (9), 317, 2011
Particle learning for general mixtures
CM Carvalho, HF Lopes, NG Polson, MA Taddy
Bayesian Analysis 5 (4), 709-740, 2010
The system can't perform the operation now. Try again later.
Articles 1–20