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Taylor & Francis
Statistical Theory and Related Fields
,  pages 1-10

Moderate deviation principle for stochastic reaction-diffusion systems with multiplicative noise and non-Lipschitz reaction

Publication type: Journal Article
Publication date: 2022-06-27
Taylor & Francis
scimago Q3
wos Q2
SJR: 0.319
CiteScore: 1.2
Impact factor: 1.3
ISSN: 24754269, 24754277
Statistics and Probability
Computational Theory and Mathematics
Applied Mathematics
Statistics, Probability and Uncertainty
Analysis
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Yang J. Moderate deviation principle for stochastic reaction-diffusion systems with multiplicative noise and non-Lipschitz reaction // Statistical Theory and Related Fields. 2022. pp. 1-10.
GOST all authors (up to 50) Copy
Yang J. Moderate deviation principle for stochastic reaction-diffusion systems with multiplicative noise and non-Lipschitz reaction // Statistical Theory and Related Fields. 2022. pp. 1-10.
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RIS Copy
TY - JOUR
DO - 10.1080/24754269.2021.1963183
UR - https://doi.org/10.1080/24754269.2021.1963183
TI - Moderate deviation principle for stochastic reaction-diffusion systems with multiplicative noise and non-Lipschitz reaction
T2 - Statistical Theory and Related Fields
AU - Yang, Juan
PY - 2022
DA - 2022/06/27
PB - Taylor & Francis
SP - 1-10
SN - 2475-4269
SN - 2475-4277
ER -
BibTex
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BibTex (up to 50 authors) Copy
@article{2022_Yang,
author = {Juan Yang},
title = {Moderate deviation principle for stochastic reaction-diffusion systems with multiplicative noise and non-Lipschitz reaction},
journal = {Statistical Theory and Related Fields},
year = {2022},
publisher = {Taylor & Francis},
month = {jun},
url = {https://doi.org/10.1080/24754269.2021.1963183},
pages = {1--10},
doi = {10.1080/24754269.2021.1963183}
}