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Stochastic Numerics Research Group
STOCHNUM
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Bayesian Statistics

Some Contributions to Particle and Unbiased Simulation Methods

Elsiddig Awadelkarim Elsiddig, Ph.D. Student, Applied Mathematics and Computational Sciences
Mar 26, 10:00 - 12:00

B3 L5 R5209; Zoom Meeting 95303621356

Bayesian Statistics machine learning

This thesis develops unbiased estimators and efficient particle filters, leveraging Feynman-Kac formulae and multilevel techniques, to address challenges in parameter estimation, filtering, invariant measure approximation, and stationary distribution computation for partially observed diffusion processes and McKean-Vlasov stochastic differential equations.

Elsiddig Awadelkarim Elsiddig

Ph.D. Student, Applied Mathematics and Computational Sciences

Bayesian Statistics machine learning

Stochastic Numerics Research Group (STOCHNUM)

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