Fence methods for backcross experiments

DOI10.1080/00949655.2012.721885zbMath1453.62734OpenAlexW1966117337WikidataQ37479294 ScholiaQ37479294MaRDI QIDQ5219288

Jiming Jiang, Jie Peng, Thuan Nguyen

Publication date: 9 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3891925

zbMATH Keywords

model selectionhigh-dimensional variable selectionrestricted fence

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• Coordinate descent algorithms for nonconvex penalized regression, with applications to biological feature selection
• Fence methods for mixed model selection
• A simplified adaptive fence procedure
• The Adaptive Lasso and Its Oracle Properties
• Restricted fence method for covariate selection in longitudinal data analysis
• The statistics of gene mapping
• Linear and generalized linear mixed models and their applications.
• Estimating the dimension of a model
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Sure Independence Screening for Ultrahigh Dimensional Feature Space
• A Model Selection Approach for the Identification of Quantitative Trait Loci in Experimental Crosses

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