Imaging Inverse Problems and Bayesian Computation - Python tutorials to learn about (accelerated) sampling for uncertainty quantification and other advanced inferences
Source code for Bayesian urban inversion OSSE [Kunik et al., 2019] written in R and equipped with sample inputs (run it out-of-the-box!)
Implementation of hierarchical Bayesian longitudinal models to estimate differential equation parameters.
A small collection of python-scripts associated with Gaussian process emulators in Bayesian inverse problems
Stochastic modelling of urban travel demand
This contains the codes used in the paper 'A randomized Multi-index sequential Monte Carlo method'.
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