Issues on the Estimation of Latent Variable and Latent Class Models: With Applications in the Social Sciences - Softcover

Pennoni, Fulvia

Softcover

ISBN 10: 3639716582 ISBN 13: 9783639716580

Publisher: Scholars' Press, 2014

Synopsis

This book is made of different research problems which have in common the presence of latent variables. In the first part undirected and directed graphical models are considered and in the case of Gaussian continuous variables the author shows that the specification of a complex multivariate distribution through univariate regressions induced by a Directed Acyclic Graph (DAG) can be regarded as a simplification. The Expectation-Maximization algorithm is considered for the maximum likelihood estimation of the model parameters and the author illustrates a method for obtaining an explicit formula of the observed information matrix by using the missing information principle. An essential background on the latent class model is given and its extension to study latent changes over time. The hidden Markov model is presented consisting of hidden states and observed variables both varying over time. The latent class cluster model is extended by proposing a latent model which also incorporates the longitudinal structure of the data by using a local likelihood approach. Some examples illustrate the use of the models in the social sciences. A detailed bibliograhy is provided.

About this title

About the Author

Fulvia Pennoni is Assistant Professor of Statistics at University of Milano-Bicocca, Milano, Italy, Department of Statistics and Quantitative Methods. Her areas of expertise and research include topics such as graphical and longitudinal models with latent variables by which she is able to mix the methodological and applied analysis.

Edition details

• Publisher: Scholars' Press
• Publication date: 2014
• Language: English
• ISBN 10: 3639716582
• ISBN 13: 9783639716580
• Binding: Paperback
• Number of pages: 144