250 citations · 425 across the 14 of their papers we have counts for
5 papers · 1 filter
Approximations of semi-Markov processes and insurance policy valuation
Martin Bladt, Andreea Minca, Oscar Peralta
Inspired by a duration-dependent life insurance model, we consider continuous-time semi-Markov jump processes, initially assumed to have a finite state-space. We develop approximat…
Reinforcement Learning for SBM Graphon Games with Re-Sampling
Peihan Huo, Oscar Peralta, Junyu Guo +2
The Mean-Field approximation is a tractable approach for studying large population dynamics. However, its assumption on homogeneity and universal connections among all agents limit…
Ruin-dependent bivariate stochastic fluid processes
Hamed Amini, Andreea Minca, Oscar Peralta
This paper presents a novel model for bivariate stochastic fluid processes that incorporate a ruin-dependent behavioral switch. Unlike typical models that assume a shared underlyin…
Duration-dependent stochastic fluid processes and solar energy revenue modeling
Hamed Amini, Andreea Minca, Oscar Peralta
We endow the classical stochastic fluid process with a duration-dependent Markovian arrival process (DMArP). We show that this provides a flexible model for the revenue of a solar…
Ruin Probabilities for Risk Processes in Stochastic Networks
Hamed Amini, Zhongyuan Cao, Andreea Minca +1
We study multidimensional Cramér-Lundberg risk processes where agents, located on a large sparse network, receive losses form their neighbors. To reduce the dimensionality of the p…