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Bayesian Analysis, ISSN 1936-0975, 2017, Volume 12, Issue 4, pp. 1105 - 1131
Journal Article
Journal of Experimental Medicine, ISSN 0022-1007, 05/2017, Volume 214, Issue 5, pp. 1371 - 1386
Journal Article
Journal Article
Catena, ISSN 0341-8162, 07/2016, Volume 142, pp. 66 - 76
Predicting soil property distribution from a catena in the digital environment has been explored by many researchers with only slightly better than modest... 
Multinomial logistics regression | Soil attribute prediction | Digital soil mapping | Soil landscapes | Soil geomorphology | Geomorphons | TERRAIN ATTRIBUTES | CLASSIFICATION | WATER RESOURCES | MODEL | SOIL SCIENCE | SOIL DRAINAGE CLASS | GEOSCIENCES, MULTIDISCIPLINARY | STOCKS | ECOSYSTEM | Slopes (Physical geography) | Algorithms | Analysis | Optical radar | Geomorphology | Carbonates
Journal Article
STATISTICAL SCIENCE, ISSN 0883-4237, 08/2019, Volume 34, Issue 3, pp. 405 - 427
The goal of this paper is to contrast and survey the major advances in two of the most commonly used high-dimensional techniques, namely, the Lasso and... 
LINEAR-REGRESSION | BAYESIAN VARIABLE SELECTION | CONFIDENCE-INTERVALS | Lasso | regularization | ASYMPTOTIC PROPERTIES | STATISTICS & PROBABILITY | sparsity | ESTIMATOR | EMPIRICAL BAYES | horseshoe | hyper-parameter tuning | regression | MODEL SELECTION | SHRINKAGE PRIORS | POSTERIOR CONCENTRATION | Global-local priors
Journal Article
Sankhya B, ISSN 0976-8386, 12/2019
Journal Article
Cell, ISSN 0092-8674, 10/2017, Volume 171, Issue 2, pp. 481 - 494.e15
Journal Article
Biometrika, ISSN 0006-3444, 12/2016, Volume 103, Issue 4, pp. 971 - 983
There is growing interest in analysing high-dimensional count data, which often exhibit quasi-sparsity corresponding to an overabundance of zeros and small... 
High-dimensional data | Local-global shrinkage | Shrinkage prior | Rare variant | Count data | Zeroinflation | HORSESHOE ESTIMATOR | VARIANTS | SHRINKAGE | BIOLOGY | MATHEMATICAL & COMPUTATIONAL BIOLOGY | STATISTICS & PROBABILITY | Zero-inflation
Journal Article
JOURNAL OF MACHINE LEARNING RESEARCH, ISSN 1532-4435, 2019, Volume 20
We show that prediction performance for global-local shrinkage regression can overcome two major difficulties of global shrinkage regression: (i) the amount of... 
PRIORS | Global-local Priors | Principal Components | LINEAR-REGRESSION | Stein's Unbiased Risk Rstimate | SHRINKAGE | Shrinkage Regression | ERROR | ESTIMATOR | VARIABLE SELECTION | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Biometrika, ISSN 0006-3444, 12/2016, Volume 103, Issue 4, pp. 955 - 969
We provide a framework for assessing the default nature of a prior distribution using the property of regular variation, which we study for global-local... 
Robustness | Default Bayes | Regular variation | Global-local shrinkage | Noninformative prior | REGRESSION | ASYMPTOTIC PROPERTIES | NUISANCE PARAMETERS | STATISTICS & PROBABILITY | INFERENCE | MIXTURES | HORSESHOE ESTIMATOR | PRIOR DISTRIBUTIONS | PRODUCT | BIOLOGY | MATHEMATICAL & COMPUTATIONAL BIOLOGY | LOCATION PARAMETER
Journal Article
ASEE Annual Conference and Exposition, Conference Proceedings, 06/2018, Volume 2018-
Conference Proceeding
Blood, ISSN 0006-4971, 12/2016, Volume 128, Issue 22, pp. 1052 - 1052
Abstract Peripheral T cell lymphomas (PTCL) of γδ T cell origin including subsets of hepatosplenic T cell lymphoma (HSTL) and enteropathy associated T cell... 
Journal Article
Bayesian Analysis, ISSN 1936-0975, 2013, Volume 8, Issue 1, pp. 111 - 132
In this paper, we establish some optimality properties of the multiple testing rule induced by the horseshoe estimator due to Carvalho, Polson, and Scott... 
Asymptotic optimality | Bayes oracle | Multiple testing | Horseshoe decision rule | SPARSITY | Horseshoe Decision Rule | STATISTICS & PROBABILITY | Bayes Oracle | ESTIMATOR | FALSE DISCOVERY RATE | EMPIRICAL-BAYES | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | Multiple Testing | SHRINKAGE | LASSO | SELECTION | Asymptotic Optimality | MULTIPLE TESTING PROCEDURES
Journal Article
Cancer Discovery, ISSN 2159-8274, 04/2017, Volume 7, Issue 4, pp. 369 - 379
Journal Article
01/2014, ISBN 9781321442991
In the recent past, thanks to applications in genomics, finance and astronomy as well as other fields, high-dimensional statistical inference has been a major... 
Statistics
Dissertation
Statistical Methodology, ISSN 1572-3127, 09/2014, Volume 20, pp. 63 - 72
We review a few unusual aspects of Bootstrap and some of the recent theoretical as well as methodological advances. We discuss the handling of non-linearity by... 
Bootstrap | Handling of non-linearity | Bootstrap for massive data | Augmented Bootstrap | Random Forest | Augmented bootstrap | Random forest | REGRESSION | DIMENSIONAL GENOMIC DATA | STATISTICS | EXPANSIONS | COVARIANCE-MATRIX ESTIMATION | STATISTICS & PROBABILITY | CLASSIFIERS | JACKKNIFE | CONSISTENCY | CONVERGENCE