Multivariate Discrete Hidden Markov Models for Domain-Based Measurements and Assessment of Risk Factors in Child Development.
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ABSTRACT:
SUBMITTER: Zhang Q
PROVIDER: S-EPMC5217762 | biostudies-literature | 2010
REPOSITORIES: biostudies-literature
Publications
Multivariate Discrete Hidden Markov Models for Domain-Based Measurements and Assessment of Risk Factors in Child Development.
Zhang Qiang Q Snow Jones Alison A Rijmen Frank F Ip Edward H EH
Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America 20100101 3
Many studies in the social and behavioral sciences involve multivariate discrete measurements, which are often characterized by the presence of an underlying individual trait, the existence of clusters such as domains of measurements, and the availability of multiple waves of cohort data. Motivated by an application in child development, we propose a class of extended multivariate discrete hidden Markov models for analyzing domain-based measurements of cognition and behavior. A random effects mo ...[more]
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