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Finite Mixture and Markov Switching Models Book

Finite Mixture and Markov Switching Models
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Finite Mixture and Markov Switching Models, The prominence of finite mixture modelling is greater than ever. Many important statistical topics like clustering data, outlier treatment, or dealing with unobserved heterogeneity involve finite mixture models in some way or other. The area of potential , Finite Mixture and Markov Switching Models
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  • Finite Mixture and Markov Switching Models
  • Written by author Sylvia Fruhwirth-Schnatter
  • Published by Springer-Verlag New York, LLC, 11/19/2010
  • The prominence of finite mixture modelling is greater than ever. Many important statistical topics like clustering data, outlier treatment, or dealing with unobserved heterogeneity involve finite mixture models in some way or other. The area of potential
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Finite mixture modelling.- Statistical inference for a finite mixture model with known number of components.- Practical bayesian inference for a finite mixture model with known number of components.- Statistical inference for finite mixture models under model specification uncertainty.- Computational tools for Bayesian inference for finite mixture models under model specification uncertainty.- Finite mixture models with normal components.- Data analysis based on finite mixtures.- Finite mixtures of regression models.- Finite mixture models with non-normal components.- Finite Markov mixture modelling.- Statistical inference for Markov switching models.- Non-linear time series analysis based on Markov switching models.- Switching state space models.


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Finite Mixture and Markov Switching Models, The prominence of finite mixture modelling is greater than ever. Many important statistical topics like clustering data, outlier treatment, or dealing with unobserved heterogeneity involve finite mixture models in some way or other. The area of potential , Finite Mixture and Markov Switching Models

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Finite Mixture and Markov Switching Models, The prominence of finite mixture modelling is greater than ever. Many important statistical topics like clustering data, outlier treatment, or dealing with unobserved heterogeneity involve finite mixture models in some way or other. The area of potential , Finite Mixture and Markov Switching Models

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Finite Mixture and Markov Switching Models, The prominence of finite mixture modelling is greater than ever. Many important statistical topics like clustering data, outlier treatment, or dealing with unobserved heterogeneity involve finite mixture models in some way or other. The area of potential , Finite Mixture and Markov Switching Models

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