Results 81 to 90 of about 396 (97)

High-dimensional variable selection accounting for heterogeneity in regression coefficients across multiple data sources. [PDF]

Can J Stat
Yu T, Ye S, Wang R.
europepmc   +1 more source

Doubly regularized estimation and selection in linear mixed-effects models for high-dimensional longitudinal data. [PDF]

Stat Interface, 2018
Li Y, Wang S, Song PX, Wang N, Zhou L, Zhu J.   +5 more
europepmc   +1 more source

Predicting dichotomised outcomes from high-dimensional data in biomedicine. [PDF]

J Appl Stat
Rauschenberger A, Glaab E.
europepmc   +1 more source

I-LAMM FOR SPARSE LEARNING: SIMULTANEOUS CONTROL OF ALGORITHMIC COMPLEXITY AND STATISTICAL ERROR. [PDF]

Ann Stat, 2018
Fan J, Liu H, Sun Q, Zhang T.
europepmc   +1 more source

Folded concave penalized sparse linear regression: sparsity, statistical performance, and algorithmic theory for local solutions. [PDF]

Math Program, 2017
Liu H, Yao T, Li R, Ye Y.
europepmc   +1 more source

Variable selection for partially linear proportional hazards model with covariate measurement error. [PDF]

J Nonparametr Stat, 2019
Song X, Wang L, Ma S, Huang H.
europepmc   +1 more source

A ROBUST AND EFFICIENT APPROACH TO CAUSAL INFERENCE BASED ON SPARSE SUFFICIENT DIMENSION REDUCTION. [PDF]

Ann Stat, 2019
Ma S, Zhu L, Zhang Z, Tsai CL, Carroll RJ.   +4 more
europepmc   +1 more source

HIGH DIMENSIONAL CENSORED QUANTILE REGRESSION. [PDF]

Ann Stat, 2018
Zheng Q, Peng L, He X.
europepmc   +1 more source

VARIABLE SELECTION IN LINEAR MIXED EFFECTS MODELS. [PDF]

Ann Stat, 2012
Fan Y, Li R.
europepmc   +1 more source

Structural Variability from Noisy Tomographic Projections. [PDF]

SIAM J Imaging Sci, 2018
Andén J, Singer A.
europepmc   +1 more source