Robust and integrative Bayesian neural networks for likelihood-free parameter inference

no code implementations • 12 Feb 2021 • Fredrik Wrede, Robin Eriksson, Richard Jiang, Linda Petzold, Stefan Engblom, Andreas Hellander, Prashant Singh

State-of-the-art neural network-based methods for learning summary statistics have delivered promising results for simulation-based likelihood-free parameter inference.

Density Estimation

SimInf: An R package for Data-driven Stochastic Disease Spread Simulations

no code implementations • 4 May 2016 • Stefan Widgren, Pavol Bauer, Robin Eriksson, Stefan Engblom

We present the R package SimInf which provides an efficient and very flexible framework to conduct data-driven epidemiological modeling in realistic large scale disease spread simulations.

C++ code

Quality Assessment of the Reuters Vol. 2 Multilingual Corpus

1 code implementation • LREC 2016 • Robin Eriksson

This effort also demonstrates the beginnings of a constraint-based methodological framework for quality assessment and quality assurance for corpora.