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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.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…
stat.ME2024
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…