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Hierarchical Stochastic Model in Bayesian Inference: Theoretical Implications and Efficient Approximation
Stephen Wu, Panagiotis Angelikopoulos, James L. Beck +1
We classify two types of Hierarchical Bayesian Model found in the literature as Hierarchical Prior Model (HPM) and Hierarchical Stochastic Model (HSM). Then, we focus on studying t…
Computing the force distribution on the surface of complex, deforming geometries using vortex methods and Brinkman penalization
Siddhartha Verma, Gabriele Abbati, Guido Novati +1
The distribution of forces on the surface of complex, deforming geometries is an invaluable output of flow simulations. One particular example of such geometries involves self-prop…
Synchronised Swimming of Two Fish
Guido Novati, Siddhartha Verma, Dmitry Alexeev +3
We study the fluid dynamics of two fish-like bodies with synchronised swimming patterns. Our studies are based on two-dimensional simulations of viscous incompressible flows. We di…
Langevin Diffusion for Population Based Sampling with an Application in Bayesian Inference for Pharmacodynamics
Georgios Arampatzis, Daniel Wälchli, Panagiotis Angelikopoulos +3
We propose an algorithm for the efficient and robust sampling of the posterior probability distribution in Bayesian inference problems. The algorithm combines the local search capa…