Cargando…
Heteroscedastic Ridge Regression Approaches for Genome-Wide Prediction With a Focus on Computational Efficiency and Accurate Effect Estimation
Ridge regression with heteroscedastic marker variances provides an alternative to Bayesian genome-wide prediction methods. Our objectives were to suggest new methods to determine marker-specific shrinkage factors for heteroscedastic ridge regression and to investigate their properties with respect t...
Autores principales: | Hofheinz, Nina, Frisch, Matthias |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3962491/ https://www.ncbi.nlm.nih.gov/pubmed/24449687 http://dx.doi.org/10.1534/g3.113.010025 |
Ejemplares similares
-
Local Polynomial Estimation of Heteroscedasticity in a Multivariate Linear Regression Model and Its Applications in Economics
por: Su, Liyun, et al.
Publicado: (2012) -
Estimation in Conditionally Heteroscedastic Time Series Models
por: Straumann, Daniel
Publicado: (2006) -
Correction: Local Polynomial Estimation of Heteroscedasticity in a Multivariate Linear Regression Model and Its Applications in Economics
por: Su, Liyun, et al.
Publicado: (2012) -
Genotype by environment interaction and heteroscedasticity influence the expression of parasite resistance in Katahdin sheep
por: Arisman, Brian C, et al.
Publicado: (2023) -
The effect of heteroscedasticity on the prediction efficiency of genome-wide polygenic score for body mass index
por: Baek, Eun Ju, et al.
Publicado: (2022)