The SgenoLasso and its cousins for selective genotyping and extreme sampling: application to association studies and genomic selection

DOI10.1080/02331888.2021.1881785zbMath1466.92005OpenAlexW3009925920MaRDI QIDQ4987644

Publication date: 3 May 2021

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331888.2021.1881785

zbMATH Keywords

Gaussian process variable selection sparsity genomic selection high-dimensional linear model selective genotyping

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) General biostatistics (92B15) Parametric hypothesis testing (62F03) Genetics and epigenetics (92D10) Asymptotic properties of parametric tests (62F05)

Uses Software

QSIMVN

Cites Work

Unnamed Item
Unnamed Item
On statistical inference for selective genotyping
An asymptotic test for quantitative trait locus detection in presence of missing genotypes
Statistics for high-dimensional data. Methods, theory and applications.
Global testing under sparse alternatives: ANOVA, multiple comparisons and the higher criticism
The statistics of gene mapping
Asymptotic distribution and local power of the likelihood ratio test for mixtures: bounded and unbounded cases
An asymptotic test for quantitative gene detection. (Un test asymptotique pour la detection de gènes quantitatifs)
On empirical processes for quantitative trait locus mapping under the presence of a selective genotyping and an interference phenomenon
Statistical genetics of quantitative traits. Linkage, maps, and QTL.
Score Statistics for Mapping Quantitative Trait Loci
Likelihood ratio test process for quantitative trait locus detection
Level Sets and Extrema of Random Processes and Fields
The Bayesian Lasso
Asymptotic Distribution of the Maximum Likelihood Ratio Test for Gene Detection
Asymptotic Statistics
On the accuracy in high‐dimensional linear models and its application to genomic selection
A Model Selection Approach for the Identification of Quantitative Trait Loci in Experimental Crosses
Comparing Power of Different Methods for QTL Detection
On stochastic processes for quantitative trait locus mapping under selective genotyping
Regularization and Variable Selection Via the Elastic Net
Estimation of High Dimensional Mean Regression in the Absence of Symmetry and Light Tail Assumptions
Model Selection and Estimation in Regression with Grouped Variables
The likelihood ratio test for general mixture models with or without structural parameter
The elements of statistical learning. Data mining, inference, and prediction

This page was built for publication: The SgenoLasso and its cousins for selective genotyping and extreme sampling: application to association studies and genomic selection