hsmm — An R package for analyzing hidden semi-Markov models

descriptionPublicationkeyboard_double_arrow_right Article 01 Mar 2010 Germany English Publisher:Elsevier BVJournal:Computational Statistics & Data Analysis, volume 54, pages 611-619 (issn: 0167-9473,

Copyright policy )

Authors: Bulla, Jan; Bulla, Ingo; Nenadic, Oleg;

doi: 10.1016/j.csda.2008.08.025

hsmm — An R package for analyzing hidden semi-Markov models

- Summary
- Subjects
- Metrics

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Country

Germany

Related Organizations

Victoria University of Wellington
New Zealand
University of Göttingen
Germany

Keywords

Markov processes: estimation; hidden Markov models, Software, source code, etc. for problems pertaining to statistics

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	51
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%