Back to Search Start Over

Symbolic Markov Chains.

Authors :
Bock, H. -H.
Gaul, W.
Vichi, M.
Arabie, Ph.
Baier, D.
Critchley, F.
Decker, R.
Diday, E.
Greenacre, M.
Lauro, C.
Meulman, J.
Monari, P.
Nishisato, S.
Ohsumi, N.
Opitz, O.
Ritter, G.
Schader, M.
Weihs, C.
Brito, Paula
Cucumel, Guy
Source :
Selected Contributions in Data Analysis & Classification; 2007, p103-111, 9p
Publication Year :
2007

Abstract

Stochastic processes have, since a long time, large applications in quite different domains. The standard theory considers discrete or continuous state space. We consider here the concept of Stochastic Process associated to all the cases of symbolic variables: quantitative, categorical single and multiple, interval, modal. More particularly, we adapt the definition of Markov Chain and give the equivalent of the Chapman-Kolmogorov theorem in all cases. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540735588
Database :
Supplemental Index
Journal :
Selected Contributions in Data Analysis & Classification
Publication Type :
Book
Accession number :
33315426
Full Text :
https://doi.org/10.1007/978-3-540-73560-1_10