Semiparametric Analysis in Conditionally Independent Multivariate Mixture Models

• Main Authors: Wrobel, T., LEUNG, Denis H. Y., Qin, J., Hettmansperger, T.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Empirical likelihood; Exponential tilting; Repeated measures; Mixture distribution; Multivariate; Economics
• Online Access: https://ink.library.smu.edu.sg/soe_research/1481; https://ink.library.smu.edu.sg/context/soe_research/article/2480/viewcontent/101007_2F978_3_319_22404_6_21.pdf
• Institution: Singapore Management University

The conditional independence assumption is commonly used in multivariate mixture models in behavioral research. We propose an exponential tilt model to analyze data from a multivariate mixture distribution with conditionally independent components. In this model, the log ratio of the density functio...