Samuel Wiqvist

Doctoral Student

Research

I am a Ph.D. student in mathematical statistics, and I am primarily working with my main supervisor Umberto Picchini on the project Stochastic modelling of protein folding and likelihood-free statistical inference methods (link to project description).

For more infomation please seem my homepage.

Research interests: stochastic differential equations, intractable likelihood problems, and Monte Carlo methods.

Recent research outputs

Samuel Wiqvist, Mattei, P. A., Umberto Picchini & Frellsen, J., 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 11795-11804 10 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Samuel Wiqvist, Mattei, P-A., Picchini, U. & Frellsen, J., 2019, (Unpublished) 13 p.

Research output: Working paper

Samuel Wiqvist, Umberto Picchini & Forman, J. L., 2018, (Unpublished) 55 p.

Research output: Working paper

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