Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Andre Berchtold
Title: Markov Chain Computation for Homogeneous and Non-homogeneous Data: MARCH 1.1 Users Guide
Abstract: MARCH is a free software for the computation of different types of Markovian models including homogeneous Markov Chains, Hidden Markov Models (HMMs) and Double Chain Markov Models (DCMMs). The main characteristic of this software is the implementation of a powerful optimization method for HMMs and DCMMs combining a genetic algorithm with the standard Baum-Welch procedure. MARCH is distributed as a set of Matlab functions running under Matlab 5 or higher on any computing platform. A PC Windows version running independently from Matlab is also available.

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Paper: Markov Chain Computation for Homogeneous and Non-homogeneous Data: MARCH 1.1 Users Guide     Download PDF (Downloads: 9435)
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DOI: 10.18637/jss.v006.i03

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