Latent Markov and growth mixture models for ordinal individual responses with covariates: A comparison

Statistical Analysis and Data Mining

Romeo, Isabella¹  Pennoni, Fulvia² 

[1] Istituto di Ricerche Farmacologiche Mario Negri Laboratory of Environmental Chemistry and Toxicology Milano Italy;University of Milano-Bicocca Department of Statistics and Quantitative Methods Milano Italy

关键词: dynamic factor model;    expectation-maximization algorithm;    forward-backward recursions;    latent trajectories;    maximum likelihood;    Monte Carlo methods;   

DOI  :  10.1002/sam.11335

学科分类：社会科学、人文和艺术（综合）

来源: John Wiley & Sons, Inc.

【 授权许可】

Unknown