Titlebook: Statistical Inference Under Mixture Models; Jiahua Chen Book 2023 Springer Nature Singapore Pte Ltd. 2023 EM-algorithm.EM-test.Hypothesis

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Introduction to Mixture Models,dels. We uncover the latent structure inherent in mixture models, address the issue of identifiability, and explore various commonly utilized mixture models. Additionally, we highlight the relationship between mixture models and the models applied in the context of over-dispersed populations.

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2199-0980 del.Provides insight on the foundations of inference procedu.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 interes

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Book 2023 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 d

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Non-Parametric MLE and Its Consistency, the estimation of the mixing distribution through maximum likelihood. Within this context, we provide three distinct proofs of the consistency of the nonparametric maximum likelihood estimator, delving into their respective advantages and limitations.