bibtype C - Conference Paper (international conference)
ARLID 0533829
utime 20240103224631.7
mtime 20201102235959.9
title (primary) (eng) A model of random walk with varying transition probabilities
specification
page_count 13 s.
media_type E
serial
ARLID cav_un_epca*0533828
title Proceedings of the 6th Stochastic Modeling Techniques and Data Analysis International Conference, SMTDA 2020
page_num 319-331
publisher
place Barcelona
name ISAST: International Society for the Advancement of Science and Technology
year 2020
editor
name1 Skiadas
name2 Christos H.
keyword Bernoulli random walk
keyword history dependemt transition probabilities
keyword success punishing/rewarding walk
author (primary)
ARLID cav_un_auth*0393231
name1 Kouřim
name2 T.
country CZ
share 50
author
ARLID cav_un_auth*0101227
name1 Volf
name2 Petr
institution UTIA-B
full_dept (cz) Stochastická informatika
full_dept Department of Stochastic Informatics
department (cz) SI
department SI
full_dept Department of Stochastic Informatics
share 50
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2020/SI/volf-0533829.pdf
cas_special
project
project_id GA18-02739S
agency GA ČR
ARLID cav_un_auth*0363963
abstract (eng) This paper considers a model of one-dimensional discrete time random walk with varying transition probabilities. These probabilities depend explicitly on the previous move of the walker and implicitly on the entire walk history, making the walk a non-Markovian stochastic process. Two basic versions of the model are introduced, some of their properties are recalled and new theoretical results derived. Then, more complex variants of models are presented. Development of walks themselves as well as the properties of connected sequences of transition probabilities are illustrated also with the aid of simulations. Applications of the model in real life situations are discussed.
action
ARLID cav_un_auth*0398459
name 6th Stochastic Modeling Techniques and Data Analysis International Conference with Demographics Workshop
dates 20200602
mrcbC20-s 20200605
place Barcelona
country ES
RIV BB
FORD0 10000
FORD1 10100
FORD2 10103
reportyear 2021
num_of_auth 2
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0312099
confidential S
arlyear 2020
mrcbU14 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU63 cav_un_epca*0533828 Proceedings of the 6th Stochastic Modeling Techniques and Data Analysis International Conference, SMTDA 2020 319 331 Barcelona ISAST: International Society for the Advancement of Science and Technology 2020
mrcbU67 340 Skiadas Christos H.