We discuss inference for multiple binary sequences under the hypothesis of Markov exchangeability. So far, the only kind of models for this purpose have been the mixtures of Markov chains. We present a new class of hierarchicalmodels parameterized in terms of Bahadur/Lancaster’s interactions, and compare it to the mixtures of Markov chains models. © 2009, Institute of Mathematical Statistics. All rights reserved.
A class of models for multiple binary sequences under the hypothesis of markov exchangeability / Di Cecco, D.. - In: ELECTRONIC JOURNAL OF STATISTICS. - ISSN 1935-7524. - 3:(2009), pp. 1113-1132. [10.1214/09-EJS478]
A class of models for multiple binary sequences under the hypothesis of markov exchangeability
Di Cecco D.
2009
Abstract
We discuss inference for multiple binary sequences under the hypothesis of Markov exchangeability. So far, the only kind of models for this purpose have been the mixtures of Markov chains. We present a new class of hierarchicalmodels parameterized in terms of Bahadur/Lancaster’s interactions, and compare it to the mixtures of Markov chains models. © 2009, Institute of Mathematical Statistics. All rights reserved.| File | Dimensione | Formato | |
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