This is your work, valued
PhD in mathematical statistics from Lund University, Sweden, now data scientist at Danske Bank in the Fraud Machine Learning, Data & Analytics team
PENs-and-ABC. Code for the paper "Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation"
5adamcmcpaper. Algorithms and case studies for the paper "Accelerating delayed-acceptance Markov chain Monte Carlo algorithms".
4snpla. Code for the paper "Sequential Neural Posterior and Likelihood Approximation"
2ApproximateBayesianComputation.jl. Julia implementation of some ABC algorithms.
2project_02901_adv_ml. Project work for 02901 Advanced Topics in Machine Learning: Computational Tools for Machine Learning in Python
1bayesatlund2019presentation. Presentation for Bayes@Lund 2019
1pioneers-pp-abc-talk. Pioneers-pp presentation, and code examples
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