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Challenges of Big Data AnalysisVariable selection in subdistribution hazard frailty models with competing risks data.Variable selection for zero-inflated and overdispersed data with application to health care demand in Germany.SIFORM: shared informative factor models for integration of multi-platform bioinformatic data.VARIABLE SELECTION FOR REGRESSION MODELS WITH MISSING DATA.Variable Selection in Measurement Error ModelsSPARSE LOGISTIC PRINCIPAL COMPONENTS ANALYSIS FOR BINARY DATARobust estimation for partially linear models with large-dimensional covariates.CALIBRATING NON-CONVEX PENALIZED REGRESSION IN ULTRA-HIGH DIMENSION.Penalized Estimating Functions and Variable Selection in Semiparametric Regression Models.Variable Selection for Screening Experiments.Regularization Parameter Selections via Generalized Information CriterionPenalized generalized estimating equations for high-dimensional longitudinal data analysis.Fixed and random effects selection in mixed effects models.Identifying complex brain networks using penalized regression methods.Endogeneity in High Dimensions.Biomarker Detection in Association Studies: Modeling SNPs Simultaneously via Logistic ANOVA.Robust penalized logistic regression with truncated loss functionsConcave 1-norm group selection.A FAST ALGORITHM FOR DETECTING GENE-GENE INTERACTIONS IN GENOME-WIDE ASSOCIATION STUDIESSparse estimation of a covariance matrix.ESTIMATION AND VARIABLE SELECTION FOR GENERALIZED ADDITIVE PARTIAL LINEAR MODELS.Orthogonalizing EM: A design-based least squares algorithm.Variable Selection for Partially Linear Models with Measurement Errors.One-step Sparse Estimates in Nonconcave Penalized Likelihood Models.Estimation and Selection via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications.A Selective Overview of Variable Selection in High Dimensional Feature Space.Graph reconstruction using covariance-based methods.ASYMPTOTIC PROPERTIES OF SUFFICIENT DIMENSION REDUCTION WITH A DIVERGING NUMBER OF PREDICTORSPrincipal Component Analysis With Sparse Fused Loadings.Survival analysis with high-dimensional covariates: an application in microarray studies.GLOBAL SOLUTIONS TO FOLDED CONCAVE PENALIZED NONCONVEX LEARNING.Pairwise variable selection for high-dimensional model-based clustering.Sparse estimation of gene-gene interactions in prediction models.Sharp Quadratic Majorization in One Dimension.An ordinary differential equation based solution path algorithm.Majorization Minimization by Coordinate Descent for Concave Penalized Generalized Linear ModelsNETWORK EXPLORATION VIA THE ADAPTIVE LASSO AND SCAD PENALTIES.NEW EFFICIENT ESTIMATION AND VARIABLE SELECTION METHODS FOR SEMIPARAMETRIC VARYING-COEFFICIENT PARTIALLY LINEAR MODELSConsistent Group Identification and Variable Selection in Regression with Correlated Predictors.
P2860
Q28651981-C2FB6766-06FB-464E-B81E-AD6BDBB53AE6Q30837437-240C05DB-E109-4FC0-90CB-4DB1C6EC1071Q30968776-EF71D18F-1EDC-4083-B2D3-92C92C5DA711Q31112697-72BF91CD-C430-460D-B04A-845D3389E160Q33545644-ED93D89C-A2A2-44BE-8060-A1334BC183A0Q33704085-B3FDB9E6-9F40-4054-B156-B35465176C01Q33758280-AB791931-D176-4797-A49F-18E45B43A3E0Q33767871-5866B648-6149-4AD7-97C5-AC04F37A6119Q33768098-D6776E2C-85DC-45D3-95EA-B0D050DCA276Q33771691-12E4FB4E-3387-41A8-8967-B9388BCDC663Q34021074-723417AF-B59A-4ABE-93AA-DCA4C642DFBFQ34024240-349C41C9-5625-46E2-8085-F21909A4B8AAQ34033797-5D2725DC-3980-4C73-8A24-68CF4BB88CF8Q34587092-90E33F40-2043-42FB-87C2-ACA5DD5B3972Q34610707-A5CA4D8E-EA1F-44BE-A21C-BB53B86A5D22Q34867059-E8CC93D4-0037-4DE7-A6C7-E668B953E823Q35026718-FF377A98-C488-4A33-B9BD-7BA4DF66F074Q35599481-B45AE2B3-5E15-404F-B07A-6F676EE112A0Q35635661-1DFCD0E0-4824-4586-9C80-F091BB4BC9B2Q36129478-BB71B073-C432-4B97-B65D-47AD39C93889Q36145008-6E8B5C2E-006E-4131-97F0-A6BB2F29F40FQ36461962-10BF8056-441B-4605-B6A8-AC7539E5531FQ37152860-CA088452-9BB0-4EE9-8CA9-47C02727FCA4Q37231059-738E4733-DA6D-429E-A2D8-BB5648DC811FQ37381912-EB093AF0-5746-47D5-B8D5-F7B478D0CE4EQ37386182-43FE3ED4-AF24-432B-94EC-EA104B0D80BBQ37875701-64F197F4-F1FE-487E-8B28-7E709028FB5EQ39110019-4300A76C-6AA3-4E8C-8CD9-E2D00A3BF0A8Q39525620-474134A6-8BFA-4FEC-BE22-4A98A50390A0Q39569391-28591C1C-C928-4DBA-B232-4929372516F3Q40470966-ED1FCB90-76E0-468B-B073-C3E23256EF51Q40816528-E5589A86-FD8E-45DB-9D09-C96DD1F1E51EQ41222118-A5F32755-5BAB-4E9D-B0DD-451C5798DCCFQ41490600-548C152E-38BC-482A-B775-3D94C22E4296Q41760862-CB4F57E7-4F29-4D2D-9DAE-303B39CBE311Q41821271-E5D2FB3A-726E-4C99-AFAB-F6C35B9E57F5Q41843162-EA13AEBD-6CDA-41C8-9144-A9A25ED7F9A4Q41956523-41DCFF17-25C5-403C-B4E7-82AB99C88042Q42057937-BD1D4360-A346-48C0-B7FF-D2009975B455Q42148686-D37B2112-0130-4301-B64B-3B38C3DB3194
P2860
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年学术文章
@wuu
2005年学术文章
@zh
2005年学术文章
@zh-cn
2005年学术文章
@zh-hans
2005年学术文章
@zh-my
2005年学术文章
@zh-sg
2005年學術文章
@yue
2005年學術文章
@zh-hant
name
Variable Selection using MM Algorithms.
@en
Variable Selection using MM Algorithms.
@nl
type
label
Variable Selection using MM Algorithms.
@en
Variable Selection using MM Algorithms.
@nl
prefLabel
Variable Selection using MM Algorithms.
@en
Variable Selection using MM Algorithms.
@nl
P1433
P1476
Variable Selection using MM Algorithms.
@en
P2093
David R Hunter
P304
P356
10.1214/009053605000000200
P50
P577
2005-01-01T00:00:00Z
P5875
P698
P818
math/0508278