Semilinear stochastic partial differential equations: Central limit theorem and moderate deviations
Author:
Affiliation:
1. Department of Mathematics Southern University of Science and Technology Shenzhen China
2. School of Mathematics and Statistics Beijing Institute of Technology Beijing China
Funder
National Natural Science Foundation of China
Beijing Institute of Technology Research Fund Program for Young Scholars
Chongqing University
Publisher
Wiley
Subject
General Engineering,General Mathematics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/mma.7224
Reference19 articles.
1. Existence and uniqueness results for semilinear stochastic partial differential equations
2. Large deviations for a class of semilinear stochastic partial differential equations
3. Ergodicity for a class of semilinear stochastic partial differential equations
4. The sharp lower bound of asymptotic efficiency of estimators in the zone of moderate deviation probabilities
5. Moderate deviations and nonparametric inference for monotone functions
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1. The Large Deviation of Semi-linear Stochastic Partial Differential Equation Driven by Brownian Sheet;Communications in Mathematics and Statistics;2023-06-16
2. LDP and CLT for SPDEs with transport noise;Stochastics and Partial Differential Equations: Analysis and Computations;2023-03-28
3. Central limit theorem and moderate deviation principle for stochastic scalar conservation laws;Journal of Mathematical Analysis and Applications;2022-12
4. Semilinear stochastic partial differential equations: Central limit theorem and moderate deviations;Mathematical Methods in the Applied Sciences;2021-02-13
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