Discovery of rare event testing for stochastic simulations of diffusion processes
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F19%3A00333212" target="_blank" >RIV/68407700:21340/19:00333212 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.physa.2019.03.020" target="_blank" >https://doi.org/10.1016/j.physa.2019.03.020</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.physa.2019.03.020" target="_blank" >10.1016/j.physa.2019.03.020</a>
Alternative languages
Result language
angličtina
Original language name
Discovery of rare event testing for stochastic simulations of diffusion processes
Original language description
Stochastic modeling of diffusion processes in various spatial domains and with boundary conditions is widely applicable especially in combination with non-linear kinetics of chemical reactions. However, the comparison with exact solution is possible in simple cases e.g. linear diffusion models. The novel testing method introduced in this article enables to study the behavior of linear stochastic diffusion models with possible low particle concentration in target sub-domains. The proposed method is demonstrated on various diffusion models with the known Green function. The novel method is recommended whenever the chi(2) goodness-of-fit test fails or the localization of critical domains is required.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Research Center for Informatics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Physica A: Statistical Mechanics and Its Applications
ISSN
0378-4371
e-ISSN
1873-2119
Volume of the periodical
525
Issue of the periodical within the volume
1
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
14
Pages from-to
50-63
UT code for WoS article
000474503900005
EID of the result in the Scopus database
2-s2.0-85063606692