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

Projekt: ForskningInternationellt samarbete, Tvärvetenskaplig forskning

Fler filtreringsmöjligheter
  1. 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    Samuel Wiqvist, Mattei, P-A., Picchini, U. & Frellsen, J., 2019, (Unpublished) 13 s.

    Forskningsoutput: Working paper

  2. Likelihood-free stochastic approximation EM for inference in complex models

    Umberto Picchini, 2019, I : Communications in Statistics: Simulation and Computation. 48, 3, s. 861-881 26 s.

    Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

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

    Umberto Picchini & Samson, A., 2018 mar, I : Computational Statistics. 33, 1, s. 179-212

    Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

  4. Approximate maximum likelihood estimation using data-cloning ABC

    Umberto Picchini & Rachele Anderson, 2017, I : Computational Statistics & Data Analysis. 105, s. 166-183 18 s.

    Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

  5. Accelerating delayed-acceptance Markov chain Monte Carlo algorithms

    Samuel Wiqvist, Umberto Picchini & Forman, J. L., 2018, (Unpublished) 55 s.

    Forskningsoutput: Working paper