News archive

(for fresher news go to my start page)

• 24 September 2021: Samuel Wiqvist defends his PhD thesis.
• 4 July 2021: New paper “PEPSDI: Scalable and flexible inference framework for stochastic dynamic single-cell models”, bioRxiv.
• 2 July 2021: paper significantly updated “Stratified sampling and bootstrapping for approximate Bayesian computation”.
• 23 June -2 July 2021: I gave a talk at ISBA 2021 entitled “Guided sequential menthods for intractable Bayesian models”.
• 25 June 2021: significantly updated “Sequentially guided MCMC proposals for synthetic likelihoods and correlated synthetic likelihoods”, arxiv:2004.04558.
• 9 June 2021: significantly updated “Sequential neural posterior and likelihood approximation”, arxiv:2102.06522.
• 15 February 2021: New paper “Sequential neural posterior and likelihood approximation”, arxiv:2102.06522.
• 3 November 2020: revised “Adaptive MCMC for synthetic likelihoods and correlated synthetic likelihoods”, arxiv:2004.04558.
• 2 September 2020: PhD student Petar Jovanovski has started his position under my supervision; he will work on this project on simulation based inference.
• PhD position with me! Apply by 1 June 2020
• on 7 May 2020 I gave a zoom talk at the One World ABC Seminar. The video is available here.
• April 2020: New paper “Adaptive MCMC for synthetic likelihoods and correlated synthetic likelihoods”, arxiv:2004.04558.
• March 2020: revised “Efficient inference for stochastic differential equation mixed-effects models using correlated particle pseudo-marginal algorithms.”, arXiv:1907.09851.
• January 2020: revised “Stratified sampling and bootstrapping for approximate Bayesian computation.”, arXiv:1905.07976.
• July 2019: New paper “Efficient inference for stochastic differential mixed-effects models using correlated particle pseudo-marginal algorithms.”, arXiv:1907.09851.
• May 2019: New revision of our accelerated MCMC paper.
• May 2019: New paper “Stratified sampling and resampling for approximate Bayesian computation.”, arXiv:1905.07976.
• April 2019: Paper accepted for the Proceedings of ICML, the International Conference on Machine Learning.
• February 2019: paper with Julie Forman accepted on JRSS series C.
• January 2019: New paper “Partially Exchangeable Networks and architectures for learning summary statistics in Approximate Bayesian Computation.”, arXiv:1901.10230.
• I will participate to ISBA 2018 in Edinburgh, including the satellite workshop on ABC, June 24-29.
• New paper with Samuel Wiqvist and Julie Forman: “Accelerating delayed-acceptance Markov chain Monte Carlo algorithms”, arXiv:1806.05982.
• May 2018: I moved from Lund University to Chalmers University of Technology and University of Gothenburg.