A Selective Overview of Variable Selection in High Dimensional Feature Space.
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EM for regularized zero-inflated regression models with applications to postoperative morbidity after cardiac surgery in childrenApplication of penalized linear regression methods to the selection of environmental enteropathy biomarkers.A Dynamic Directional Model for Effective Brain Connectivity using Electrocorticographic (ECoG) Time Series.SCALABLE FUSED LASSO SVM FOR CONNECTOME-BASED DISEASE PREDICTIONCORRELATION PURSUIT: FORWARD STEPWISE VARIABLE SELECTION FOR INDEX MODELS.Statistical analysis of big data on pharmacogenomicsSparse Methods for Biomedical DataCombining techniques for screening and evaluating interaction terms on high-dimensional time-to-event data.Some Statistical Strategies for DAE-seq Data Analysis: Variable Selection and Modeling Dependencies among Observations.Variable selection in subdistribution hazard frailty models with competing risks data.Bayesian inference with historical data-based informative priors improves detection of differentially expressed genesA selective overview of feature screening for ultrahigh-dimensional data.A comparative study of variable selection methods in the context of developing psychiatric screening instrumentsCombining NMR and LC/MS Using Backward Variable Elimination: Metabolomics Analysis of Colorectal Cancer, Polyps, and Healthy Controls.Disease prediction based on functional connectomes using a scalable and spatially-informed support vector machine.LASSO model selection with post-processing for a genome-wide association study data set.Regression with empirical variable selection: description of a new method and application to ecological datasets.Projection regression models for multivariate imaging phenotype.Model-Free Feature Screening for Ultrahigh Dimensional Data.Bayesian Generalized Low Rank Regression Models for Neuroimaging Phenotypes and Genetic Markers.The Sparse MLE for Ultra-High-Dimensional Feature ScreeningNon-Concave Penalized Likelihood with NP-Dimensionality.Variance estimation using refitted cross-validation in ultrahigh dimensional regressionAutomatic structure recovery for additive models.Type 2 Diabetes Biomarkers of Human Gut Microbiota Selected via Iterative Sure Independent Screening Method.Integrating multidimensional omics data for cancer outcome.Regularization Methods for High-Dimensional Instrumental Variables Regression With an Application to Genetical Genomics.Genotype distribution-based inference of collective effects in genome-wide association studies: insights to age-related macular degeneration disease mechanism.Performance of variable selection methods using stability-based selection.ELASTIC NET FOR COX'S PROPORTIONAL HAZARDS MODEL WITH A SOLUTION PATH ALGORITHMBFLCRM: A BAYESIAN FUNCTIONAL LINEAR COX REGRESSION MODEL FOR PREDICTING TIME TO CONVERSION TO ALZHEIMER'S DISEASE.On model specification and selection of the Cox proportional hazards model.The lasso for high dimensional regression with a possible change point.Evaluation of the lasso and the elastic net in genome-wide association studies.Bayesian Methods for High Dimensional Linear Models.Variable selection and prediction using a nested, matched case-control study: Application to hospital acquired pneumonia in stroke patients.On Numerical Aspects of Bayesian Model Selection in High and Ultrahigh-dimensional Settings.Robust Adaptive Lasso method for parameter's estimation and variable selection in high-dimensional sparse modelsData integration with high dimensionality.Respiratory trace feature analysis for the prediction of respiratory-gated PET quantification.
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P2860
A Selective Overview of Variable Selection in High Dimensional Feature Space.
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
@pt
bilimsel makale
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scientific article published on January 2010
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
A Selective Overview of Variable Selection in High Dimensional Feature Space.
@en
A Selective Overview of Variable Selection in High Dimensional Feature Space.
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type
label
A Selective Overview of Variable Selection in High Dimensional Feature Space.
@en
A Selective Overview of Variable Selection in High Dimensional Feature Space.
@nl
prefLabel
A Selective Overview of Variable Selection in High Dimensional Feature Space.
@en
A Selective Overview of Variable Selection in High Dimensional Feature Space.
@nl
P2860
P1433
P1476
A Selective Overview of Variable Selection in High Dimensional Feature Space
@en
P2093
Jianqing Fan
P2860
P304
P577
2010-01-01T00:00:00Z