Finite mixture model of hidden Markov regression with covariate dependence
Author:
Affiliation:
1. Department of Applied Statistics and Operations Research Bowling Green State University Bowling Green Ohio USA
2. Department of Information Systems, Statistics, and Management Science The University of Alabama Tuscaloosa Alabama USA
Publisher
Wiley
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/sta4.469
Reference34 articles.
1. Matrix‐variate time series modelling with hidden Markov models
2. Longitudinal analysis of self-reported health status by mixture latent auto-regressive models
3. A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains
4. Assessing a mixture model for clustering with the integrated completed likelihood
5. Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Hidden Markov Model Based on Logistic Regression;Mathematics;2023-10-23
2. Finite mixture of hidden Markov models for tensor-variate time series data;Advances in Data Analysis and Classification;2023-04-29
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