I am a post-doctoral researcher in the School of Mathematics, Statistics and Physics at Newcastle University, based full-time at the Alan Turing Institute in London.
I am interested in Bayesian statistical theory and, increasingly, in non-parametric Bayesian approaches.
I am also involved with the emerging field of probabilistic numerical methods.
How are ya, champ?
Not so bad, thanks for asking.
I was previously at the Department of Mathematics at Imperial College London (2018-20), where I was also a postgraduate (2013-18).
1. Teymur, Gorham, Riabiz & Oates (2020) Optimal quantisation of probability measures using Maximum Mean Discrepancy; arXiv:2010.07064
2. Teymur & Filippi (2020) A Bayesian nonparametric test for conditional independence; Foundations of Data Science & arXiv:1910.11219
3. Teymur, Lie, Sullivan & Calderhead (2018) Implicit probabilistic integrators for ODEs; NeurIPS 2018 & arXiv:1805.07970
4. Teymur, Zygalakis & Calderhead (2016) Probabilistic linear multistep methods; NeurIPS 2016 & arXiv:1610.08417