Results 41 to 50 of about 79 (76)

Sample Average Approximation with Sparsity-Inducing Penalty for High-Dimensional Stochastic Programming. [PDF]

Math Program, 2019
Liu H, Wang X, Yao T, Li R, Ye Y.
europepmc   +1 more source

Efficient Post-Shrinkage Estimation Strategies in High-Dimensional Cox's Proportional Hazards Models. [PDF]

Entropy (Basel)
Ahmed SE, Arabi Belaghi R, Hussein AA.
europepmc   +1 more source

Difference-based ridge-type estimator of parameters in restricted partial linear model with correlated errors. [PDF]

Springerplus, 2016
Wu J.
europepmc   +1 more source

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

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

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

Adaptive group bridge estimation for high-dimensional partially linear models. [PDF]

J Inequal Appl, 2017
Wang X, Wang M.
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

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