Results 71 to 80 of about 392 (92)

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

Springerplus, 2016
Wu J.
europepmc   +1 more source

FIRST: Combining forward iterative selection and shrinkage in high dimensional sparse linear regression

, 2009
S. Ghosal, W. Hwang, Hao Helen Zhang
semanticscholar   +1 more source

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

Marginalized LASSO in the low-dimensional difference-based partially linear model for variable selection. [PDF]

J Appl Stat
Norouzirad M, Moura R, Arashi M, Marques FJ.   +3 more
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

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

J Inequal Appl, 2017
Wang X, Wang M.
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

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

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

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