Up a level |

**11**.

## Article

Pymar, Richard and Rivera, N.
(2024)
Asymptomatic behaviour of the noisy voter model density process.
*The Annals of Applied Probability*
,
ISSN 1050-5164.
(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
,
p. 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.