Results 141 to 150 of about 1,354,633 (198)

Variable selection for doubly robust causal inference. [PDF]

Stat Interface
Cho E, Yang S.
europepmc   +1 more source

High-Dimensional Variable Selection With Competing Events Using Cooperative Penalized Regression. [PDF]

Biom J
Burk L, Bender A, Wright MN.
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Variable Selection with FDR Control for Noisy Data - An Application to Screening Metabolites that Are Associated with Breast Cancer and Colorectal Cancer. [PDF]

J Data Sci
Wang R, Dai R, Huang Y, Neuhouser ML, Lampe JW, Raftery D, Tabung FK, Zheng C.   +7 more
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Variable Selection for Multivariate Failure Time Data via Regularized Sparse-Input Neural Network. [PDF]

Bioengineering (Basel)
Luo B, Halabi S.
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Robust parameter estimation and variable selection in regression models for asymmetric heteroscedastic data. [PDF]

J Appl Stat
Güney Y, Arslan O.
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A comparison of random forest variable selection methods for regression modeling of continuous outcomes. [PDF]

Brief Bioinform
O'Connell NS, Jaeger BC, Bullock GS, Speiser JL.   +3 more
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Simultaneous Variable Selection

Technometrics, 2005
We propose a new method for selecting a common subset of explanatory variables where the aim is to model several response variables. The idea is a natural extension of the LASSO technique proposed by Tibshirani (1996) and is based on the (joint) residual sum of squares while constraining the parameter estimates to lie within a suitable polyhedral ...
Berwin A. Turlach, William N. Venables, Stephen J. Wright 0001   +2 more
openaire   +1 more source