Estimation of variance components, heritability and the ridge penalty in high-dimensional generalized linear models-Reference-Cited by-同舟云学术

Estimation of variance components, heritability and the ridge penalty in high-dimensional generalized linear models

Published:2019-08-12 Issue:1 Volume:51 Page:116-134
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Veerman Jurre R.¹²,Leday Gwenaël G. R.³,van de Wiel Mark A.¹³

Affiliation:

1. Departement of Epidemiology & Biostatistics, Amsterdam Public Health research institute, Amsterdam University medical centers, Amsterdam, The Netherlands

2. Mathematical Institute, Leiden University, Leiden, the Netherlands

3. MRC Biostatistics Unit, Cambridge University, Cambridge, UK

Funder

Medical Research Council

Publisher

Informa UK Limited

Subject

Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2019.1646760

Reference34 articles.

1. The Relationship Between Variable Selection and Data Agumentation and a Method for Prediction

2. Consistent High-Dimensional Bayesian Variable Selection via Penalized Credible Regions

3. Heritability estimation in high dimensional sparse linear mixed models

4. Improving heritability estimation by a variable selection approach in sparse high dimensional linear mixed models

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