Stochastic modelling of protein folding and likelihood-free statistical inference methods

Project: ResearchInternational collaboration, Interdisciplinary research

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  1. Accelerating delayed-acceptance Markov chain Monte Carlo algorithms

    Samuel Wiqvist, Umberto Picchini & Forman, J. L., 2018, (Unpublished) 55 p.

    Research output: Working paper

  2. Coupling stochastic EM and approximate Bayesian computation for parameter inference in state-space models

    Umberto Picchini & Samson, A., 2018 Mar, In : Computational Statistics. 33, 1, p. 179-212

    Research output: Contribution to journalArticle

  3. Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation

    Samuel Wiqvist, Mattei, P-A., Picchini, U. & Frellsen, J., 2019, (Unpublished) 13 p.

    Research output: Working paper