Semiparametric Bayesian latent variable regression for skewed multivariate data-Reference-Cited by-同舟云学术

Semiparametric Bayesian latent variable regression for skewed multivariate data

Published:2019-03-29 Issue:2 Volume:75 Page:528-538
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biom

Author:

Bhingare Apurva¹^ORCID,Sinha Debajyoti²,Pati Debdeep³,Bandyopadhyay Dipankar⁴,Lipsitz Stuart R.⁵

Affiliation:

1. Eunice Kennedy Shriver National Institute of Child Health & Human Development Bethesda, Maryland

2. Department of StatisticsFlorida State University Tallahassee, Florida

3. Department of StatisticsTexas A & M University College Station, Texas

4. Department of BiostatisticsVirginia Commonwealth University Richmond, Virginia

5. Department of MedicineBrigham and Women's Hospital Boston, Massachusetts

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.12989

Reference23 articles.

1. Distributions generated by perturbation of symmetry with emphasis on a multivariate skew t -distribution

2. The multivariate skew-normal distribution

3. Skew-normal/independent linear mixed models for censored responses with applications to HIV viral loads

4. Linear mixed models for skew-normal/independent bivariate responses with an application to periodontal disease

5. Skew-normal antedependence models for skewed longitudinal data

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