This book puts its weight on theoretical issues related to finite mixture models. It shows that a good applicant, is an applicant who understands the issues behind each statistical method. This book is intended for applicants whose interests include some understanding of the procedures they are using, while they do not have to read the technical derivations.
At the same time, many researchers find most theories and techniques necessary for the development of various statistica...
表中的内容
1. Introduction to mixture models.- 2. Nonparametric MLE and its consistency.- 3. Maximum likelihood estimation under finite mixture models.- 4. Estimation under finite norm...
关于作者
Jiahua Chen is a professor at the University of British Columbia. He has broad research interests and published papers in a wide range of research areas and journals. Amon...