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Title: Discrete random processes with memory: Models and applications (English)
Author: Kouřim, Tomáš
Author: Volf, Petr
Language: English
Journal: Applications of Mathematics
ISSN: 0862-7940 (print)
ISSN: 1572-9109 (online)
Volume: 65
Issue: 3
Year: 2020
Pages: 271-286
Summary lang: English
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Category: math
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Summary: The contribution focuses on Bernoulli-like random walks, where the past events significantly affect the walk's future development. The main concern of the paper is therefore the formulation of models describing the dependence of transition probabilities on the process history. Such an impact can be incorporated explicitly and transition probabilities modulated using a few parameters reflecting the current state of the walk as well as the information about the past path. The behavior of proposed random walks, as well as the task of their parameter estimation, are studied both theoretically and with the aid of simulations. (English)
Keyword: random walk
Keyword: history dependent transition probability
Keyword: non-Markov process
Keyword: success punishing walk
Keyword: success rewarding walk
MSC: 60G50
MSC: 62F10
idZBL: 07217110
idMR: MR4114252
DOI: 10.21136/AM.2020.0335-19
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Date available: 2020-06-10T13:10:19Z
Last updated: 2022-07-04
Stable URL: http://hdl.handle.net/10338.dmlcz/148143
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Reference: [6] Kouřim, T.: Statistical Analysis, Modeling and Applications of Random Processes with Memory: PhD Thesis Study.ČVUT FJFI, Praha (2019). MR 4114252
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