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Rajarshi Mukherjee
Rajarshi Mukherjee
Harvard T.H. Chan School of Public Health
Adresse e-mail validée de mail.harvard.edu - Page d'accueil
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Minimax estimation of a functional on a structured high-dimensional model
JM Robins, L Li, R Mukherjee, ET Tchetgen, A van der Vaart
Annals of Statistics 45 (5), 1951-1987, 2017
1132017
The generalized higher criticism for testing SNP-set effects in genetic association studies
I Barnett, R Mukherjee, X Lin
Journal of the American Statistical Association 112 (517), 64-76, 2017
1012017
Hypothesis testing for high-dimensional sparse binary regression
R Mukherjee, NS Pillai, X Lin
Annals of statistics 43 (1), 352, 2015
552015
Semiparametric efficient empirical higher order influence function estimators
R Mukherjee, WK Newey, JM Robins
arXiv preprint arXiv:1705.07577, 2017
472017
Global testing against sparse alternatives under Ising models
R Mukherjee, S Mukherjee, M Yuan
Annals of Statistics 46 (5), 2062-2093, 2018
362018
Detection thresholds for the -model on sparse graphs
R Mukherjee, S Mukherjee, S Sen
Annals of Statistics 46 (3), 1288-1317, 2018
302018
On estimation of L r -norms in Gaussian white noise models
Y Han, J Jiao, R Mukherjee
Probability Theory and Related Fields 177 (3), 1243-1294, 2020
292020
On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning
L Liu, R Mukherjee, JM Robins
Statistical Science 35 (3), 518-539, 2020
242020
On testing for parameters in Ising models
R Mukherjee, G Ray
arXiv preprint arXiv:1906.00456, 2019
132019
Lepski's method and adaptive estimation of nonlinear integral functionals of density
R Mukherjee, ET Tchetgen, J Robins
arXiv preprint arXiv:1508.00249, 2015
122015
Optimal adaptive inference in random design binary regression
R Mukherjee, S Sen
Bernoulli 24 (1), 699-739, 2018
112018
Detecting Structured Signals in Ising Models
N Deb, R Mukherjee, S Mukherjee, M Yuan
arXiv preprint arXiv:2012.05784, 2020
102020
Asymptotic normality of scrambled geometric net quadrature
K Basu, R Mukherjee
Annals of Statistics 45 (4), 1759-1788, 2017
92017
On minimax exponents of sparse testing
R Mukherjee, S Sen
arXiv preprint arXiv:2003.00570, 2020
72020
On adaptive estimation of nonparametric functionals
R Mukherjee, ET Tchetgen, J Robins
arXiv preprint arXiv:1608.01364, 2016
72016
On efficiency of the plug-in principle for estimating smooth integrated functionals of a nonincreasing density
R Mukherjee, B Sen
Electronic Journal of Statistics 13 (2), 4416-4448, 2019
62019
Semi-Supervised Off Policy Reinforcement Learning
A Sonabend-W, N Laha, AN Ananthakrishnan, T Cai, R Mukherjee
arXiv preprint arXiv:2012.04809, 2020
42020
Rejoinder: On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning
L Liu, R Mukherjee, JM Robins
arXiv preprint arXiv:2008.03288, 2020
42020
Testing Degree Corrections in Stochastic Block Models
R Mukherjee, S Sen
arXiv preprint arXiv:1705.07527, 2017
12017
The Generalized Higher Criticism for Testing SNP-sets in Genetic Association Studies
I Barnett, R Mukherjee, X Lin
JSM 2014 (1/20), 2014
2014
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