Data and code to accompany paper "Accelerating sequential Monte Carlo with surrogate likelihoods"
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Updated
Oct 14, 2021 - R
Data and code to accompany paper "Accelerating sequential Monte Carlo with surrogate likelihoods"
This repository consist of a compendium of assignments and their respective solutions for an advanced course in Applied Bayesian Statistics
This package contains a Rshiny webtool developed to allow the calculation of the metabolic predictors developed by the groups of MOLEPI and LCBC (LUMC), from raw Nightingale Health 1H-NMR metabolomics data.
R interface to 'dgpsi' for deep and linked Gaussian process emulations
Surrogate models and active learning for scientific applications.
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