The likelihood ratio test for hidden Markov models in two-sample problems

2008 | journal article. A publication with affiliation to the University of Göttingen.

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​The likelihood ratio test for hidden Markov models in two-sample problems​
Dannemann, J. & Holzmann, H.​ (2008) 
Computational Statistics & Data Analysis52(4) pp. 1850​-1859​.​ DOI: https://doi.org/10.1016/j.csda.2007.06.002 

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Authors
Dannemann, Joern; Holzmann, Hajo
Abstract
The asymptotic distribution of the likelihood ratio test statistic in two-sample testing problems for hidden Markov models is derived when allowing for unequal sample sizes as well as for different families of state-dependent distributions. In both cases under regularity conditions the limit distribution is a standard chi(2)-distribution, and in particular does not depend on the ratio of the distinct sample sizes. In a simulation study, the finite sample properties are investigated, and the methodology is illustrated in an application to modeling the movement of Drosophila larvae. (C) 2007 Elsevier B.V. All rights reserved.
Issue Date
2008
Status
published
Publisher
Elsevier Science Bv
Journal
Computational Statistics & Data Analysis 
ISSN
0167-9473

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