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Stochastic approximation of quasi-stationary distributions for diffusion processes in a bounded domain (1904.08620v3)
Published 18 Apr 2019 in math.PR
Abstract: We study a random process with reinforcement, which evolves following the dynamics of a given diffusion process in a bounded domain and is resampled according to its occupation measure when it reaches the boundary. We show that its occupation measure converges to the unique quasi-stationary distribution of the diffusion process absorbed at the boundary of the domain. Our proofs use recent results in the theory of quasi-stationary distributions and stochastic approximation techniques.
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