Eitan Greenshtein
Eitan Greenshtein
Central Bureau of Statistics Israel
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Persistence in high-dimensional linear predictor selection and the virtue of overparametrization
E Greenshtein, YA Ritov
Bernoulli 10 (6), 971-988, 2004
Nonparametric empirical Bayes and compound decision approaches to estimation of a high-dimensional vector of normal means
LD Brown, E Greenshtein
The Annals of Statistics, 1685-1704, 2009
Best subset selection, persistence in high-dimensional statistical learning and optimization under l1 constraint
E Greenshtein
The Poisson compound decision problem revisited
LD Brown, E Greenshtein, Y Ritov
Journal of the American Statistical Association 108 (502), 741-749, 2013
Application of Non Parametric Empirical Bayes Estimation to High Dimensional Classification.
E Greenshtein, J Park
Journal of Machine Learning Research 10 (7), 2009
A dynamic‐programming approach to continuous‐review obsolescent inventory problems
I David, E Greenshtein, A Mehrez
Naval Research Logistics (NRL) 44 (8), 757-774, 1997
Asymptotic efficiency of simple decisions for the compound decision problem
E Greenshtein, Y Ritov
Lecture Notes-Monograph Series, 266-275, 2009
Sure independence screening for ultrahigh dimensional feature space Discussion
P Bickel, P Buehlmann, Q Yao, R Samworth, P Hall, DM Titterington, ...
Journal of the Royal Statistical Society. Series B, Statistical Methodology …, 2008
Comparison of sequential experiments
E Greenshtein
The Annals of Statistics 24 (1), 436-448, 1996
Double-stage inspection for screening multi-characteristic items
E Greenshtein, G Rabinowitz
IIE transactions 29 (12), 1057-1061, 1997
Estimating the mean of high valued observations in high dimensions
E Greenshtein, J Park, YA Ritov
Journal of Statistical Theory and Practice 2 (3), 407-418, 2008
Empirical Bayes in the presence of explanatory variables
N Cohen, E Greenshtein, Y Ritov
Statistica Sinica, 333-357, 2013
Regularization through variable selection and conditional MLE with application to classification in high dimensions
E Greenshtein, J Park, G Lebanon
Journal of statistical planning and inference 139 (2), 385-395, 2009
Robust test for detecting a signal in a high dimensional sparse normal vector
E Greenshtein, J Park
Journal of Statistical Planning and Inference 142 (6), 1445-1456, 2012
Optimal and myopic search in a binary random vector
A Dor, E Greenshtein, E Korach
Journal of applied probability 35 (2), 463-472, 1998
Comment: Empirical Bayes, compound decisions and exchangeability
E Greenshtein, Y Ritov
Statistical information and expected number of observations for sequential experiments
E Greenshtein, E Torgersen
Journal of statistical planning and inference 59 (2), 229-240, 1997
Brownian analysis of a buffered-flow system in the face of sudden obsolescence
I David, E Greenshtein
Operations research letters 19 (1), 43-49, 1996
Application of non-parametric empirical bayes to treatment of non-response
E Greenshtein, T Itskov
Statistica Sinica 28 (4), 2189-2208, 2018
Asymptotically minimax regret procedures in regression model selection and the magnitude of the dimension penalty
A Goldenshluger, E Greenshtein
The Annals of Statistics 28 (6), 1620-1637, 2000
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