3 papers
stat.CO2020
On proportional volume sampling for experimental design in general spaces
Arnaud Poinas, Rémi Bardenet
Optimal design for linear regression is a fundamental task in statistics. For finite design spaces, recent progress has shown that random designs drawn using proportional volume sa…
math.ST2018
Adaptive estimating function inference for non-stationary determinantal point processes
Frédéric Lavancier, Arnaud Poinas, Rasmus Waagepetersen
Estimating function inference is indispensable for many common point process models where the joint intensities are tractable while the likelihood function is not. In this paper we…
math.ST2018
A bound of the -mixing coefficient for point processes in terms of their intensity functions
Arnaud Poinas
We prove a general inequality on -mixing coefficients of point processes depending uniquely on their -th order intensity functions. We apply this inequality in the case of de…