| Year |
Citation |
Score |
| 2020 |
Carvalho CM, Fisher J, Pettenuzzo D. Optimal Asset Allocation with Multivariate Bayesian Dynamic Linear Models The Annals of Applied Statistics. 14: 299-338. DOI: 10.2139/Ssrn.3254935 |
0.384 |
|
| 2020 |
Hahn PR, Murray JS, Carvalho CM. Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects Bayesian Analysis. DOI: 10.1214/19-Ba1195 |
0.38 |
|
| 2020 |
Woody S, Carvalho CM, Murray JS. Model interpretation through lower-dimensional posterior summarization Journal of Computational and Graphical Statistics. 1-9. DOI: 10.1080/10618600.2020.1796684 |
0.383 |
|
| 2018 |
Hahn PR, Carvalho CM, He J, Puelz D. Regularization and Confounding in Linear Regression for Treatment Effect Estimation Bayesian Analysis. 13: 163-182. DOI: 10.2139/Ssrn.2728512 |
0.356 |
|
| 2017 |
Puelz D, Hahn PR, Carvalho CM. Variable Selection in Seemingly Unrelated Regressions with Random Predictors Bayesian Analysis. 12: 969-989. DOI: 10.1214/17-Ba1053 |
0.398 |
|
| 2015 |
Hahn PR, Carvalho CM. Decoupling shrinkage and selection in bayesian linear models: A posterior summary perspective Journal of the American Statistical Association. 110: 435-448. DOI: 10.1080/01621459.2014.993077 |
0.353 |
|
| 2014 |
Windle J, Carvalho CM. A tractable state-space model for symmetric positive-defnite matrices Bayesian Analysis. 9: 759-792. DOI: 10.1214/14-Ba888 |
0.396 |
|
| 2013 |
Richard Hahn P, Carvalho CM, Mukherjee S. Partial factor modeling: Predictor-dependent shrinkage for linear regression Journal of the American Statistical Association. 108: 999-1008. DOI: 10.1080/01621459.2013.779843 |
0.421 |
|
| 2012 |
Lopes HF, Polson NG, Carvalho CM. Bayesian statistics with a smile: A resampling-sampling perspective Brazilian Journal of Probability and Statistics. 26: 358-371. DOI: 10.1214/11-Bjps144 |
0.664 |
|
| 2012 |
Richard Hahn P, Carvalho CM, Scott JG. A sparse factor analytic probit model for congressional voting patterns Journal of the Royal Statistical Society. Series C: Applied Statistics. 61: 619-635. DOI: 10.1111/J.1467-9876.2012.01044.X |
0.416 |
|
| 2012 |
Lopes HF, Johannes MS, Carvalho CM, Polson NG, Pitt M. Particle Learning for Sequential Bayesian Computation Bayesian Statistics 9. DOI: 10.1093/acprof:oso/9780199694587.003.0011 |
0.623 |
|
| 2012 |
Carvalho CM, Lopes HF, Aguilar O, Mendoza M. Dynamic Stock Selection Strategies: A Structured Factor Model Framework Bayesian Statistics 9. DOI: 10.1093/acprof:oso/9780199694587.003.0002 |
0.631 |
|
| 2011 |
Wang H, Reeson C, Carvalho CM. Dynamic financial index models: Modeling conditional dependencies via graphs Bayesian Analysis. 6: 639-664. DOI: 10.1214/11-Ba624 |
0.439 |
|
| 2010 |
Carvalho CM, Johannes MS, Lopes HF, Polson NG. Particle Learning and Smoothing Statistical Science. 25: 88-106. DOI: 10.1214/10-Sts325 |
0.605 |
|
| 2010 |
Carvalho CM, Lopes HF, Polson NG, Taddy MA. Particle learning for general mixtures Bayesian Analysis. 5: 709-740. DOI: 10.1214/10-Ba525 |
0.641 |
|
| 2010 |
Carvalho CM, Polson NG, Scott JG. The horseshoe estimator for sparse signals Biometrika. 97: 465-480. DOI: 10.1093/Biomet/Asq017 |
0.338 |
|
| 2009 |
Chang JT, Carvalho C, Mori S, Bild AH, Gatza ML, Wang Q, Lucas JE, Potti A, Febbo PG, West M, Nevins JR. A genomic strategy to elucidate modules of oncogenic pathway signaling networks. Molecular Cell. 34: 104-14. PMID 19362539 DOI: 10.1016/J.Molcel.2009.02.030 |
0.642 |
|
| 2009 |
Lucas JE, Carvalho CM, Chen JL, Chi JT, West M. Cross-study projections of genomic biomarkers: an evaluation in cancer genomics. Plos One. 4: e4523. PMID 19225561 DOI: 10.1371/Journal.Pone.0004523 |
0.65 |
|
| 2009 |
Lucas J, Carvalho C, West M. A bayesian analysis strategy for cross-study translation of gene expression biomarkers. Statistical Applications in Genetics and Molecular Biology. 8: Article 11. PMID 19222378 DOI: 10.2202/1544-6115.1436 |
0.679 |
|
| 2009 |
Scott JG, Carvalho CM. Feature-inclusion stochastic search for Gaussian graphical models Journal of Computational and Graphical Statistics. 17: 790-808. DOI: 10.1198/106186008X382683 |
0.448 |
|
| 2009 |
Carvalho CM, Scott JG. Objective Bayesian model selection in Gaussian graphical models Biometrika. 96: 497-512. DOI: 10.1093/Biomet/Asp017 |
0.438 |
|
| 2008 |
Carvalho CM, Chang J, Lucas JE, Nevins JR, Wang Q, West M. High-Dimensional Sparse Factor Modeling: Applications in Gene Expression Genomics. Journal of the American Statistical Association. 103: 1438-1456. PMID 21218139 DOI: 10.1198/016214508000000869 |
0.714 |
|
| 2008 |
Rajaratnam B, Massam H, Carvalho CM. Flexible covariance estimation in graphical gaussian models Annals of Statistics. 36: 2818-2849. DOI: 10.1214/08-Aos619 |
0.352 |
|
| 2007 |
Carvalho CM, West M. Dynamic matrix-variate graphical models Bayesian Analysis. 2: 69-98. DOI: 10.1214/07-Ba204 |
0.604 |
|
| 2007 |
Carvalho CM, Massam H, West M. Simulation of hyper-inverse Wishart distributions in graphical models Biometrika. 94: 647-659. DOI: 10.1093/Biomet/Asm056 |
0.584 |
|
| 2007 |
Lopes HF, Carvalho CM. Factor stochastic volatility with time varying loadings and Markov switching regimes Journal of Statistical Planning and Inference. 137: 3082-3091. DOI: 10.1016/J.Jspi.2006.06.047 |
0.647 |
|
| 2007 |
Carvalho CM, Lopes HF. Simulation-based sequential analysis of Markov switching stochastic volatility models Computational Statistics and Data Analysis. 51: 4526-4542. DOI: 10.1016/J.Csda.2006.07.019 |
0.645 |
|
| 2005 |
Jones B, Carvalho C, Dobra A, Hans C, Carter C, West M. Experiments in stochastic computation for high-dimensional graphical models Statistical Science. 20: 388-400. DOI: 10.1214/088342305000000304 |
0.725 |
|
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