3 papers
math.ST2024
Nonparametric regression on random geometric graphs sampled from submanifolds
Paul Rosa, Judith Rousseau
We consider the nonparametric regression problem when the covariates are located on an unknown smooth compact submanifold of a Euclidean space. Under defining a random geometric gr…
math.ST2023
Nonparametric Bayesian intensity estimation for covariate-driven inhomogeneous point processes
Matteo Giordano, Alisa Kirichenko, Judith Rousseau
This work studies nonparametric Bayesian estimation of the intensity function of an inhomogeneous Poisson point process in the important case where the intensity depends on covaria…
stat.CO2012
Computational aspects of Bayesian spectral density estimation
Nicolas Chopin, Judith Rousseau, Brunero Liseo
Gaussian time-series models are often specified through their spectral density. Such models present several computational challenges, in particular because of the non-sparse nature…