Dr Richard Pymar
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Overview
Overview
Qualifications
- PhD, University of Cambridge
- MMath, University of Cambridge
- MA, University of Cambridge
Administrative responsibilities
- Undergraduate Education Lead (Mathematics & Statistics)
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Research
Research
Research interests
- Probability Theory
Research overview
I'm particularly interested in interacting particle systems, mixing times, and the parabolic Anderson model.
An interactive demonstration of a key tool in my research called the chameleon process can be viewed here: https://richardpymar.github.io/
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Supervision and teaching
Supervision and teaching
Supervision
Teaching
I teach on the MSc in Applied Statistics and the BSc in Mathematics
Teaching modules
- Data Skills (BUEM132H4)
- Statistical Analysis (EMMS016S7)
- Probability and Stochastic Modelling (EMMS018S7)
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Publications
Publications
Article
- Pymar, Richard and Rivera, N. (2024) Asymptomatic behaviour of the noisy voter model density process. The Annals of Applied Probability 34 (5), pp. 4554-4594. ISSN 1050-5164.
- Pymar, Richard and Rivera, N. (2024) Mixing of the symmetric beta-binomial splitting process on arbitrary graphs. Annales de l'Institut Henri Poincare (B) Probability and Statistics ISSN 0246-0203. (In Press)
- Harris, C. and Pymar, Richard and Rowat, Colin (2022) Joint Shapley Values: a measure of joint feature importance. International Conference on Learning Representations
- Pymar, Richard and Hermon, J. (2020) The exclusion process mixes (almost) faster than independent particles. Annals of Probability 48 (6), pp. 3077-3123. ISSN 0091-1798.
- Muirhead, S. and Pymar, Richard and Sidorova, N. (2019) A new phase transition in the parabolic Anderson model with partially duplicated potential. Stochastic Processes and their Applications 129 (11), pp. 4704-4746. ISSN 0304-4149.
- Connor, S.B. and Pymar, Richard (2019) Mixing times for exclusion processes on hypergraphs. Electronic Journal of Probability 24, pp. 73. ISSN 1083-6489.
- Muirhead, S. and Pymar, Richard and dos Santos, R.S. (2019) The Bouchaud-Anderson model with double-exponential potential. The Annals of Applied Probability 29 (1), pp. 264-325. ISSN 1050-5164.
- Muirhead, S. and Pymar, Richard and Sidorova, N. (2017) Delocalising the Parabolic Anderson Model through partial duplication of the potential. Probability Theory and Related Fields 171 (3-4), pp. 917-979. ISSN 0178-8051.
- Chaumont, L. and Malécot, V. and Pymar, Richard and Sbai, C. (2016) Reconstructing pedigrees using probabilistic analysis of ISSR amplification. Journal of Theoretical Biology 412, pp. 8-16. ISSN 0022-5193.
- Muirhead, S. and Pymar, Richard (2016) Localisation in the Bouchaud-Anderson model. Stochastic Processes and their Applications 126 (11), pp. 3402-3462. ISSN 0304-4149.
- Pymar, Richard and Sousi, P. (2014) A permuted random walk exits faster. Latin American Journal of Probability and Mathematical Statistics 11 (1), pp. 185-195. ISSN 1980-0436.
- Berestycki, N. and Pymar, Richard (2012) Effect of scale on long-range random graphs and chromosomal inversions. The Annals of Applied Probability 22 (4), pp. 1328-1361. ISSN 1050-5164.
External Repositories