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

This contains the codes used in the paper 'A randomized Multi-index sequential Monte Carlo method'.

Stochastic modelling of urban travel demand