Parameter estimation for complex thermal-fluid flows using approximate Bayesian computation

Approximate Bayesian Computation for Source Term Estimation

Bayesian inference is a vital tool for consistent manipulation of the uncertainty that is present in many military scenarios. However, in some highly complex environments, it is hard to write down an analytic form for the likelihood function that underlies Bayesian inference. Approximate Bayesian computation (ABC) algorithms address this difficulty by enabling one to proceed without analyticall...

Adaptive approximate Bayesian computation for complex models

Parameter estimation of platelets deposition: Approximate Bayesian computation with high performance computing

Ritabrata Dutta , Bastien Chopard , Jonas Lätt , Frank Dubois , Karim Zouaoui Boudjeltia 3,4 and Antonietta Mira 1,6 1Institute of Computational Science, Università della Svizzera italiana, Switzerland 2Computer Science Department, University of Geneva, Switzerland 3Laboratory of Experimental Medicine (ULB 222 Unit), Université Libre de Bruxelles, Belgium 4 CHU de Charleroi, Belgium 5 Micrograv...

Parameter Estimation in Computational Biology by Approximate Bayesian Computation coupled with Sensitivity Analysis

Motivation: We address the problem of parameter estimation in models of systems biology from noisy observations. The models we consider are characterized by simultaneous deterministic nonlinear differential equations whose parameters are either taken from in vitro experiments, or are hand-tuned during the model development process to reproduces observations from the system. We consider the fami...

Approximate Bayesian Computation for Smoothing

We consider a method for approximate inference in hidden Markov models (HMMs). The method circumvents the need to evaluate conditional densities of observations given the hidden states. It may be considered an instance of Approximate Bayesian Computation (ABC) and it involves the introduction of auxiliary variables valued in the same space as the observations. The quality of the approximation m...