热门出版物 - 学术资源搜索

h5 指数:73
h5 中位数:110

h5 指数是指在过去整整 5 年中所发表文章的 h 指数。h 指在 2018-2022 年间发表的 h 篇文章每篇至少都被引用过 h 次的最大值。隐藏

出版物的 h5 中位数，是指出版物的 h5 指数所涵盖的所有文章获得的引用次数的中位值。隐藏

#1 Probability & Statistics with Applications

标题/作者	引用次数	年份
Generalized random forests S Athey, J Tibshirani, S Wager The Annals of Statistics 47 (2), 1148-1178	952	2019
Statistical guarantees for the EM algorithm: From population to sample-based analysis S Balakrishnan, MJ Wainwright, B Yu The Annals of Statistics 45 (1), 77-120	399	2017
Nonparametric regression using deep neural networks with ReLU activation function J Schmidt-Hieber The Annals of Statistics 48 (4), 1875-1897	387	2020
Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score Q Zhao, J Wang, G Hemani, J Bowden, DS Small The Annals of Statistics 48 (3), 1742-1769	246	2020
A general theory of hypothesis tests and confidence regions for sparse high dimensional models Y Ning, H Liu The Annals of Statistics 45 (1), 158-195	238	2017
Just interpolate: Kernel “Ridgeless” regression can generalize T Liang, A Rakhlin The Annals of Statistics 48 (3), 1329-1347	216	2020
The Zig-Zag process and super-efficient sampling for Bayesian analysis of big data J Bierkens, P Fearnhead, G Roberts The Annals of Statistics 47 (3), 1288-1320	207	2019
Statistical consistency and asymptotic normality for high-dimensional robust $ M $-estimators PL Loh The Annals of Statistics 45 (2), 866-896	178	2017
HIGH-DIMENSIONAL ASYMPTOTICS OF PREDICTION: RIDGE REGRESSION AND CLASSIFICATION E Dobriban, S Wager The Annals of Statistics 46 (1), 247-279	177	2018
Entrywise eigenvector analysis of random matrices with low expected rank E Abbe, J Fan, K Wang, Y Zhong The Annals of Statistics 48 (3), 1452-1474	169	2020
Debiasing the lasso: Optimal sample size for Gaussian designs A Javanmard, A Montanari The Annals of Statistics 46 (6A), 2593-2622	169	2018
On semidefinite relaxations for the block model AA Amini, E Levina The Annals of Statistics 46 (1), 149-179	168	2018
The landscape of empirical risk for nonconvex losses S Mei, Y Bai, A Montanari The Annals of Statistics 46 (6A), 2747-2774	167	2018
FALSE DISCOVERIES OCCUR EARLY ON THE LASSO PATH W Su, M Bogdan, E Candès THE ANNALS of STATISTICS, 2133-2150	166	2017
Confidence intervals for high-dimensional linear regression: Minimax rates and adaptivity TT Cai, Z Guo The Annals of Statistics 45 (2), 615-646	165	2017
Monge–Kantorovich depth, quantiles, ranks and signs V Chernozhukov, A Galichon, M Hallin, M Henry The Annals of Statistics 45 (1), 223-256	162	2017
OPTIMAL SHRINKAGE OF EIGENVALUES IN THE SPIKED COVARIANCE MODEL D Donoho, M Gavish, I Johnstone The Annals of Statistics 46 (4), 1742-1778	159	2018
SLOPE MEETS LASSO: IMPROVED ORACLE BOUNDS AND OPTIMALITY PC Bellec, G Lecué, AB Tsybakov The Annals of Statistics 46 (6B), 3603-3642	158	2018
Likelihood-based model selection for stochastic block models YXR Wang, PJ Bickel The Annals of Statistics 45 (2), 500-528	151	2017
The hardness of conditional independence testing and the generalised covariance measure RD Shah, J Peters The Annals of Statistics 48 (3), 1514-1538	147	2020

1 - 20

计算机程序会自动估算并确定日期和引用次数。