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Markov processes / Categorical data / Econometrics / Latent class model / Expectation–maximization algorithm / Hidden Markov model / Markov chain / Latent variable / Markov property / Statistics / Markov models / Statistical models


Using a Mixture Latent Markov Model to Analyze Longitudinal U.S. Employment Data Involving Measurement Error Jay Magidson,1 Jeroen K. Vermunt,2 and Bac Tran3 (1) Statistical Innovations Inc., Belmont, MA., U.S. (2) Depar
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Document Date: 2008-01-24 10:25:02


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City

Belmont / Laird / Suitland / /

Company

LG / Universal Academy Press Inc. / Bac Tran3 (1) Statistical Innovations Inc. / Statistical Innovations Inc. / /

Country

United States / Netherlands / /

Facility

Tilburg University / /

IndustryTerm

forwardbackward algorithm / software package / /

Organization

Department of Methodology / Tilburg University / Bureau of Labor Statistics / U.S. Bureau of the Census / U.S. Census Bureau / /

Person

Van de Pol / /

Position

Prime Minister / standard LM model / as well as its mixture extension / LM model / model / as suggested by our simulation / /

Product

Pentax K-x Digital Camera / Latent GOLD / /

ProvinceOrState

Maryland / New Mexico / /

PublishedMedium

Survey Research Methods / Journal of the Royal Statistical Society / /

Technology

forwardbackward algorithm / simulation / EM algorithm / Baum-Welch algorithm / /

SocialTag