Henrik Häggström

Project Assistant at Applied Mathematics and Statistics

I am interested in statistical inference methods, more specifically Bayesian computational methods in likelihood-free/simulation-based inference. I currently work on simulation-based Bayesian inference methods for mixed-effects stochastic dynamic models with applications in systems biology.

Source: chalmers.se

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Showing 1 publications

2024

Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappings

Henrik Häggström, Pedro Rodrigues, Geoffroy Oudoumanessah et al

Transactions on Machine Learning Research

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