23 citations · 51 across the 13 of their papers we have counts for
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math.PR2026
Intermittency for the parabolic Anderson model on spaces with sub-Gaussian heat kernel estimates
Fabrice Baudoin, Hongyi Chen, Li Chen +1
We study the parabolic Anderson model on an unbounded Ahlfors -regular Dirichlet metric measure space whose heat kernel satisfies two-sided sub-…
math.OC2026
Analyzing changes in optimal variables in linear programming with uncertain parameters
Baptiste Istace, Guillaume Derval, Bardhyl Miftari +1
Linear problems often include many parameters that may be uncertain. Sensitivity analysis studies how these parameters impact optimal values. Instead of analyzing the objective fun…
eess.SY2026
Bayesian Inference for Estimating Generation Costs in Electricity Markets
Matthias Pirlet, Adrien Bolland, Alexandre Huynen +3
Estimating generation costs from observed electricity market data is essential for market simulation, strategic bidding, and system planning. To that end, we model the relationship…