Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models.
about
Challenges of Big Data AnalysisStatistical analysis of big data on pharmacogenomicsFeature Screening for Ultrahigh Dimensional Categorical Data with Applications.A selective overview of feature screening for ultrahigh-dimensional data.FEATURE SCREENING FOR TIME-VARYING COEFFICIENT MODELS WITH ULTRAHIGH DIMENSIONAL LONGITUDINAL DATAAn adaptive threshold determination method of feature screening for genomic selection.Variable Selection for Sparse High-Dimensional Nonlinear Regression Models by Combining Nonnegative Garrote and Sure Independence Screening.Feature Screening via Distance Correlation LearningNonparametric Independence Screening in Sparse Ultra-High Dimensional Varying Coefficient ModelsOn Varying-coefficient Independence Screening for High-dimensional Varying-coefficient ModelsA model-free approach for detecting interactions in genetic association studiesAutomatic structure recovery for additive models.Exploiting Linkage Disequilibrium for Ultrahigh-Dimensional Genome-Wide Data with an Integrated Statistical Approach.Model-Free Feature Screening for Ultrahigh Dimensional Discriminant AnalysisCensored cumulative residual independent screening for ultrahigh-dimensional survival data.Feature Augmentation via Nonparametrics and Selection (FANS) in High-Dimensional ClassificationFeature Screening in Ultrahigh Dimensional Cox's ModelOn model specification and selection of the Cox proportional hazards model.Ultrahigh-Dimensional Multiclass Linear Discriminant Analysis by Pairwise Sure Independence Screening.Feature Selection for Varying Coefficient Models With Ultrahigh Dimensional Covariates.Model-Free Conditional Independence Feature Screening For Ultrahigh Dimensional Data.Principal Components Adjusted Variable Screening.Conditional Sure Independence Screening.Linear or Nonlinear? Automatic Structure Discovery for Partially Linear Models.Screening and clustering of sparse regressions with finite non-Gaussian mixtures.LOCAL INDEPENDENCE FEATURE SCREENING FOR NONPARAMETRIC AND SEMIPARAMETRIC MODELS BY MARGINAL EMPIRICAL LIKELIHOODLow-dimensional confounder adjustment and high-dimensional penalized estimation for survival analysis.Gene set differential analysis of time course expression profiles via sparse estimation in functional logistic model with application to time-dependent biomarker detection.Parsimonious covariate selection with censored outcomes.Score test variable screening.Ultrahigh dimensional time course feature selection.Nearly assumptionless screening for the mutually-exciting multivariate Hawkes processPrinciples of Experimental Design for Big Data Analysis.MARGINAL EMPIRICAL LIKELIHOOD AND SURE INDEPENDENCE FEATURE SCREENING.Variable Selection for Nonparametric Quantile Regression via Smoothing Spline AN OVA.An Efficient Nonlinear Regression Approach for Genome-wide Detection of Marginal and Interacting Genetic Variations.Variable screening via quantile partial correlation.On an additive partial correlation operator and nonparametric estimation of graphical models.Partition-based ultrahigh-dimensional variable screening.Combining Pathway Identification and Breast Cancer Survival Prediction via Screening-Network Methods.
P2860
Q28651981-947401FA-0D01-4831-9B53-0F5D0A459330Q30619237-2C063142-0A44-4CBD-BF14-E94C5DEFAB21Q30862604-2048E8A9-A3EB-41DC-BCF6-F4DB9CD4924EQ31037464-622BF6C9-C62B-44F3-862C-EA17D0F60396Q31130913-7629DB61-09D1-4F0C-838A-E72E05134914Q33556198-F2FA6F43-6D39-441D-A29D-72AF32C06CE3Q34080769-EFF3B8CE-6317-499E-B87C-82D025177756Q34219010-4738A8B1-E07B-49B0-AEB6-9CB5CDDC8661Q34300849-8CB45DF3-CC39-4DB1-88AF-2E0BD2BF7481Q34609861-F2ECEB87-F0C5-4602-A855-05B68C66BA6CQ34974612-74130D4D-CC80-4FE7-A58D-80B4DE527DF4Q35806408-D7D3AD16-5EA7-4988-9BD4-5A6BD3121C50Q35867640-A3F92055-F7D2-4F7A-A2E9-FA18E641C14BQ36070975-EC955454-F934-4627-A7BB-90AA3E74DC43Q36383334-049603E8-14F5-4B78-A727-A706FB6BF7B2Q36900716-8CCB21A5-A48F-4AF6-8294-169A39FA755FQ37082631-DA5DA5CE-E0F0-4FEC-852F-E489F8A7CF5CQ37227787-75B3CBB2-D938-46DE-9E44-BBE9B544CE34Q37600572-89DD0D59-6450-41FF-BA82-8354F00C2B9DQ37657734-D905DF8F-390D-4BD7-B049-7BD20546946CQ38709602-F03D9E1B-50CD-4048-9A68-83CDBA143BBDQ38731104-D561592C-76CF-4A76-BC50-42CA06E5B5E3Q38866120-D154EB86-8DAC-4156-83E5-4356CABCF1D1Q39334070-14514056-EBA4-44D0-97B3-01515E910C05Q39419040-54E10860-AB2B-450E-B609-D07500DD9833Q39723923-F143CF9C-D6B4-478E-9A2E-6219DF7AEE50Q40435695-1DAEE1A7-1967-445F-A8FB-AB32EC711C7BQ40484478-A5DE5B92-28FB-465D-928B-3F6C3C8BB064Q40496412-2EDDCE69-065B-4C7B-9D70-03E819FCF518Q40542121-D92E542E-A39A-46B5-9433-75BD7CE9DB8AQ40822011-864CEB19-12AD-47B0-8C82-B898C9984FEEQ41513166-5B123508-E633-4F45-97E9-B7AA62FFA117Q41615597-025C31CC-7DF8-4EA2-B679-BEE2854A11AFQ41863605-CB626331-BA66-4F10-A272-A2B43D178604Q41959266-C7014235-368D-4848-8B8C-A6D90656750DQ42769554-1212C2AB-1F02-4FBC-BFEE-FAAB04AD61A2Q46196004-2E0BD6E3-D8BF-4E86-992E-213A34BE3FFAQ49269520-6B6DA3D7-D027-4D41-856D-1188ED25F649Q55231526-548CACA4-50B7-4088-BBCE-8D1F8DCEAE13Q55369745-AB6BF98F-D17F-47C0-AD58-C97506DD4F07
P2860
Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
@zh
2011年论文
@zh-cn
name
Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models.
@en
type
label
Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models.
@en
prefLabel
Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models.
@en
P2093
P2860
P1476
Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models.
@en
P2093
P2860
P304
P356
10.1198/JASA.2011.TM09779
P407
P577
2011-06-01T00:00:00Z