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Regression analysis / Categorical data / Estimation theory / Expectation–maximization algorithm / Mixture model / Latent class model / Mixture distribution / Hidden Markov model / Markov chain / Statistics / Statistical models / Markov models


Hierarchical Mixture Models for Nested Data Structures Jeroen K. Vermunt1 and Jay Magidson2 1 2
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Document Date: 2006-09-05 12:15:13

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City

Belmont / Concord / Boston / Wiley / /

Company

Netherlands Statistical Innovations Inc. / /

Country

United States / Netherlands / /

Facility

Eindhoven University of Technology / Tilburg University / /

IndustryTerm

data algorithms / forward-backward algorithm / upwarddownward algorithm / upward-downward algorithm / data mining / computing / be accomplished using standard complete data algorithms / /

Organization

American Statistical Association / Department of Methodology and Statistics / Tilburg University / Eindhoven University of Technology / /

Person

Let / Van Mierlo / /

Position

Prime Minister / finite mixture model / /

ProgrammingLanguage

ML / /

ProvinceOrState

New Mexico / New York / Massachusetts / /

PublishedMedium

Journal of the American Statistical Association / /

Technology

adapted EM algorithm / upwarddownward algorithm / data mining / data algorithms / upward-downward algorithm / EM algorithm / forward-backward algorithm / /

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