Infinite hidden Markov models for multiple multivariate time series with missing data-Reference-Cited by-同舟云学术

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Infinite hidden Markov models for multiple multivariate time series with missing data

Published:2022-07-22 Issue: Volume: Page:
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Hoskovec Lauren¹^ORCID,Koslovsky Matthew D.¹^ORCID,Koehler Kirsten²^ORCID,Good Nicholas³,Peel Jennifer L.³^ORCID,Volckens John⁴^ORCID,Wilson Ander¹^ORCID

Affiliation:

1. Department of Statistics Colorado State University Fort Collins Colorado USA

2. Department of Environmental Health and Engineering Johns Hopkins University Baltimore Maryland USA

3. Department of Environmental and Radiological Health Sciences Colorado State University Colorado USA

4. Department of Mechanical Engineering Colorado State University Colorado USA

Funder

National Institutes of Health

National Science Foundation

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.13715

Reference26 articles.

1. Mixed Hidden Markov Models

2. MCMC Estimation of Restricted Covariance Matrices

3. Nonparametric Bayes Conditional Distribution Modeling With Variable Selection

4. Model-Based Clustering for Expression Data via a Dirichlet Process Mixture Model

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