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stat.ML2024
A variational Bayes approach to inference for low-dimensional parameters in high-dimensional linear regression
Ismaël Castillo, Alice L'Huillier, Kolyan Ray +1
We propose a scalable variational Bayes method for statistical inference for a single or pre-specified low-dimensional subset of the coordinates of a high-dimensional parameter in…
math.ST2024
Bayesian Nonparametric Inference in McKean-Vlasov models
Richard Nickl, Grigorios A. Pavliotis, Kolyan Ray
We consider nonparametric statistical inference on a periodic interaction potential from noisy discrete space-time measurements of solutions of the nonlinear McKean-Vla…