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stat.ME2026
Kinetic Langevin Splitting Schemes for Constrained Sampling
Neil K. Chada, Lu Yu
Constrained sampling is an important and challenging task in computational statistics, concerned with generating samples from a distribution under certain constraints. There are nu…
stat.ME2026
Unbiased Approximations for Stationary Distributions of McKean-Vlasov SDEs
Elsiddig Awadelkarim, Neil K. Chada, Ajay Jasra
We consider the development of unbiased estimators, to approximate the stationary distribution of Mckean-Vlasov stochastic differential equations (MVSDEs). These are an important c…
stat.ME2025
Unbiased Parameter Estimation for Bayesian Inverse Problems
Neil K. Chada, Ajay Jasra, Mohamed Maama +1
In this paper we consider the estimation of unknown parameters in Bayesian inverse problems. In most cases of practical interest, there are several barriers to performing such esti…