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Dynamics for the Random Cluster Model
(2021-08-20)
The random cluster model is a statistical model on random graph structures. It can also be thought of as a unification of the percolation model, the Ising model and the q-state Potts models. To simulate such models, the ...
Convergence of McKean-Vlasov processes and Markov Chain Monte Carlo methods for mean-field models
(2022-10-11)
In recent years, analysing the long-time behaviour of stochastic processes has received increasing interest. Firstly, efficient sampling of a given probability measure is an important task that arises in various fields ...