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Why Markov Switching Models Work Well: An Explanation.
- Source :
-
International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems . 2023 Supplement, Vol. 31, p265-271. 7p. - Publication Year :
- 2023
-
Abstract
- In general, the probability of the next state depends not only on the current state, but also on the whole pre-history. However, in practice, many real-life processes — including economic processes — can be well described by so-called Markov models, i.e., models in which the probability of the next state depends only on the current state. In this paper, we explain the empirical ubiquity of such models. [ABSTRACT FROM AUTHOR]
- Subjects :
- *EXPLANATION
Subjects
Details
- Language :
- English
- ISSN :
- 02184885
- Volume :
- 31
- Database :
- Academic Search Index
- Journal :
- International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems
- Publication Type :
- Academic Journal
- Accession number :
- 175256841
- Full Text :
- https://doi.org/10.1142/S0218488523400160