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Estimation for mixtures of Markov processes.

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Publication:1871278
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DOI10.1016/S0167-7152(02)00127-XzbMath1045.62080OpenAlexW2037487715MaRDI QIDQ1871278

Jeong-Gun Park, Ishwar V. Basawa

Publication date: 7 May 2003

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-7152(02)00127-x


zbMATH Keywords

exponential familiesMarkov processesquasi-likelihood estimationmaximum likelihoodmixture models


Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Markov processes: estimation; hidden Markov models (62M05)


Related Items (2)

Two-component mixtures of generalized linear mixed effects models for cluster correlated data ⋮ Exploring the randomness of mentally generated head–tail sequences




Cites Work

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  • Quasi-likelihood and its application. A general approach to optimal parameter estimation
  • The foundations of finite sample estimation in stochastic processes
  • Mixed Poisson Regression Models with Covariate Dependent Rates
  • Markov Poisson regression models for discrete time series. Part 1: Methodology




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