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Taylor & Francis Ltd

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Hidden Markov Mixture Autoregressive Models: Stability and Moments

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Model selection in finite mixture of regression models: a Bayesian approach with innovative weighted g priors and reversible jump Markov chain Monte Carlo implementation

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Markov chain Monte Carlo estimation of a mixture item response theory model

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A Class of Markov Chain Models for Average Run Length Computations for Autocorrelated Processes

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