Sequence Analysis and Transition Models

Details

Serval ID
serval:BIB_EE6BCEBF29D4
Type
A part of a book
Publication sub-type
Chapter: chapter ou part
Collection
Publications
Title
Sequence Analysis and Transition Models
Title of the book
Encyclopedia of Animal Behavior
Author(s)
Berchtold André
Publisher
Elsevier, Academic Press
ISBN
9780128132517
Publication state
Published
Issued date
2019
Peer-reviewed
Oui
Editor
Choe Jae Chun
Volume
3
Pages
506-517
Edition
2nd ed.
Language
english
Abstract
The behavior of an animal, with or without interaction with its environment, can generally be decomposed into a set of
mutually excluding activity categories such as play, exploration, or rest. Thus, the data consist of one or several series of
successive activities which can be used to answer the following questions: Does the probability of observing a particular
activity depend on the preceding observed activities? Do some particular patterns of successive activities appear more often than expected by chance only? Which external events influence the behavior of this animal?
This article covers several related methods used to answer these questions. At the base is the need to compute and analyze a transition probability, the probability of observing a particular activity in relation to the past. A Markov chain is a stochastic answer to this kind of problem, when lag-sequential analysis refers to a less formalized approach aimed at the identification of the most usual patterns of activities. We review here the basic principles of these two approaches and detail some advances such as the formulation of sequence analysis as log-linear models, the use of mixtures to obtain parsimonious models, the concept of hidden Markov models incorporating latent information, and the use of these models for clustering purpose.
Keywords
Bayesian information criterion (BIC), Clustering, Double chain markov model (DCMM), Hidden markov model (HMM), Lag-sequential analysis, Log-linear model, Markov chain, Mixture transition distribution (MTD) model, Stable distribution, Time dependence, Transition matrix
Create date
30/01/2019 21:58
Last modification date
21/08/2019 6:11
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