The likelihood ratio test in high-dimensional logistic regression is asymptotically a rescaled Chi-square

On the impact of predictor geometry on the performance on high-dimensional ridge-regularized generalized robust regression estimators

(2017) Noureddine El Karoui   PROBABILITY THEORY AND RELATED FIELDS

Universality in polytope phase transitions and message passing algorithms

(2015) Mohsen Bayati et al.   ANNALS OF APPLIED PROBABILITY

On asymptotically optimal confidence regions and tests for high-dimensional models

(2014) Sara van de Geer et al.   ANNALS OF STATISTICS

Finding Hidden Cliques of Size $$\sqrt{N/e}$$ N / e in Nearly Linear Time

(2014) Yash Deshpande et al.   FOUNDATIONS OF COMPUTATIONAL MATHEMATICS

On robust regression with high-dimensional predictors

(2013) Noureddine El Karoui et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Maximum likelihood estimation in logistic regression models with a diverging number of covariates

(2012) Hua Liang et al.   Electronic Journal of Statistics

Nonconcave Penalized Likelihood With NP-Dimensionality

(2011) Jianqing Fan et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

The Dynamics of Message Passing on Dense Graphs, with Applications to Compressed Sensing

(2011) Mohsen Bayati et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

The LASSO Risk for Gaussian Matrices

(2011) Mohsen Bayati et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Penalized high-dimensional empirical likelihood

(2010) Cheng Yong Tang et al.   BIOMETRIKA

A high-dimensional Wilks phenomenon

(2010) Stéphane Boucheron et al.   PROBABILITY THEORY AND RELATED FIELDS

High-dimensional generalized linear models and the lasso

(2008) Sara A. van de Geer   ANNALS OF STATISTICS

Mills' ratio: Monotonicity patterns and functional inequalities

(2007) Árpád Baricz   JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS