Jian Wang

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20232026

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Showing 2025 · math.PRShow all

3 papers · 2 filters

math.PR2025

Convergence rates for the $p$ -Wasserstein distance of the empirical measures of an ergodic Markov process

René L. Schilling, Jian Wang, Bingyao Wu +1

Let $X := (X_{t})_{t \geq 0}$ be an ergodic Markov process on $ℜ^{d}$ , and $p > 0$ . We derive upper bounds of the $p$ -Wasserstein distance between the invariant measure and the empirica…

math.PR2025

Ergodicity of conditional McKean-Vlasov jump diffusions

Jianhai Bao, Yao Liu, Jian Wang

In this paper, we are interested in conditional McKean-Vlasov jump diffusions, which are also termed as McKean-Vlasov stochastic differential equations with jump idiosyncratic nois…

math.PR2025

Stationary distributions of McKean-Vlasov SDEs with jumps: existence, uniqueness, and multiplicity

Jianhai Bao, Jian Wang

In this paper, we are interested in the issues on existence, uniqueness, and multiplicity of stationary distributions for McKean-Vlasov SDEs with jumps. In detail, with regarding t…

Convergence rates for the p-Wasserstein distance of the empirical measures of an ergodic Markov process

Ergodicity of conditional McKean-Vlasov jump diffusions

Stationary distributions of McKean-Vlasov SDEs with jumps: existence, uniqueness, and multiplicity

Convergence rates for the $p$ -Wasserstein distance of the empirical measures of an ergodic Markov process