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Journal of the American Statistical Association, ISSN 0162-1459, 10/2018, Volume 113, Issue 524, pp. 1684 - 1697
Despite its long history of success, the EM algorithm has been vulnerable to local entrapment when the posterior/likelihood is multi-modal. This is... 
Spike-and-slab | Ensemble optimization | Multimodality | EM algorithm | MONTE-CARLO | SPIKE | STOCHASTIC SEARCH | MODELS | STATISTICS & PROBABILITY | Reconstruction | Entrapment | Algorithms | Computer simulation | Bayesian analysis
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 01/2018, Volume 113, Issue 521, pp. 431 - 444
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 12/2016, Volume 111, Issue 516, pp. 1608 - 1622
Rotational post hoc transformations have traditionally played a key role in enhancing the interpretability of factor analysis. Regularization methods also... 
Sparsity
Journal Article
ANNALS OF STATISTICS, ISSN 0090-5364, 02/2018, Volume 46, Issue 1, pp. 401 - 437
We introduce a new framework for estimation of sparse normal means, bridging the gap between popular frequentist strategies (LASSO) and popular Bayesian... 
LINEAR-REGRESSION | ASYMPTOTICALLY MINIMAX | posterior concentration | STATISTICS & PROBABILITY | spike-and-slab | VARIABLE SELECTION | ORACLE PROPERTIES | Asymptotic minimaxity | HORSESHOE ESTIMATOR | SHRINKAGE | MODEL SELECTION | LASSO | REGULARIZATION
Journal Article
Journal of Clinical Oncology, ISSN 0732-183X, 01/2013, Volume 31, Issue 1, pp. 95 - 103
Journal Article
Bayesian Analysis, ISSN 1936-0975, 2014, Volume 9, Issue 1, pp. 221 - 258
In many applications it is of interest to determine a limited number of important explanatory factors (representing groups of potentially overlapping... 
Bayesian LASSO | Bayesian shrinkage estimation | EM algorithm | Minorization-maximization | REGRESSION | NETWORK | STATISTICS & PROBABILITY | ORACLE PROPERTIES | NONCONCAVE PENALIZED LIKELIHOOD | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | MODEL SELECTION | LASSO | REGULARIZATION | EXPRESSION | MICROARRAY DATA
Journal Article
Health Services Research, ISSN 0017-9124, 06/2016, Volume 51, Issue 3, pp. 1229 - 1247
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 04/2014, Volume 109, Issue 506, pp. 828 - 846
Despite rapid developments in stochastic search algorithms, the practicality of Bayesian variable selection methods has continued to pose challenges.... 
Dynamic posterior exploration | Regularization plots | High dimensionality | SSVS | Sparsity | REGRESSION | PRIORS | STOCHASTIC SEARCH | ALGORITHM | STATISTICS & PROBABILITY | IDENTIFICATION | LIKELIHOOD | Bayesian statistical decision theory | Analysis | Expectation-maximization algorithm
Journal Article
Journal of Computational and Graphical Statistics, ISSN 1061-8600, 10/2019, Volume 28, Issue 4, pp. 921 - 931
We propose a Bayesian procedure for simultaneous variable and covariance selection using continuous spike-and-slab priors in multivariate linear regression... 
Multivariate regression | Nonconvex optimization | Gaussian graphical modeling | Bayesian shrinkage | EM algorithm | Statistics - Methodology
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 10/2016, Volume 111, Issue 516, pp. 1608 - 1622
Rotational post hoc transformations have traditionally played a key role in enhancing the interpretability of factor analysis. Regularization methods also... 
Spike-and-Slab LASSO | Factor rotations | Sparsity | EM algorithm | Parameter expansion | STATISTICS & PROBABILITY | FACTOR MODELS | VARIABLE SELECTION | Bayesian analysis | Algorithms
Journal Article
Annals of Statistics, ISSN 0090-5364, 02/2018, Volume 46, Issue 1, pp. 401 - 437
Journal Article
PLoS ONE, ISSN 1932-6203, 10/2011, Volume 6, Issue 10, p. e26537
Journal Article
05/2019
Few methods in Bayesian non-parametric statistics/ machine learning have received as much attention as Bayesian Additive Regression Trees (BART). While BART is... 
Journal Article
BAYESIAN ANALYSIS, ISSN 1931-6690, 12/2019, Volume 14, Issue 4, pp. 1091 - 1119
Consider the problem of high dimensional variable selection for the Gaussian linear model when the unknown error variance is also of interest. In this paper,... 
penalized likelihood | Spike-and-Slab Lasso | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | LASSO | L-PENALIZATION | STATISTICS & PROBABILITY | Bayesian variable selection | REGULARIZATION | Bayesian shrinkage | Jeffreys' priors
Journal Article
10/2019
This paper affords new insights about Bayesian CART in the context of structured wavelet shrinkage. We show that practically used Bayesian CART priors lead to... 
Journal Article
Blood, ISSN 0006-4971, 11/2011, Volume 118, Issue 21, pp. 746 - 746
Abstract Abstract 746 Acute myeloid leukemia (AML) is a complex disease driven by multiple cytogenetic abnormalities, aberrant expression levels and mutations... 
Journal Article
10/2018
Ensemble learning is a statistical paradigm built on the premise that many weak learners can perform exceptionally well when deployed collectively. The BART... 
Journal Article
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