activity
20122019
most citedMultiscale Piecewise Deterministic Markov Process in Infinite Dimension: Central Limit Theorem and Langevin Approximation

1 citations · 1 across the 1 of their papers we have counts for

collaborators

8 papers

math.PR2019

A convex programming approach for discrete-time Markov decision processes under the expected total reward criterion

F. Dufour, Alexandre Genadot

In this work, we study discrete-time Markov decision processes (MDPs) under constraints with Borel state and action spaces and where all the performance functions have the same for…

math.PR2017

On the expected total reward with unbounded returns for Markov decision processes

François Dufour, Alexandre Genadot

We consider a discrete-time Markov decision process with Borel state and action spaces. The performance criterion is to maximize a total expected {utility determined by unbounded r…

math.PR2017

Probabilistic and Piecewise Deterministic models in Biology

Bertrand Cloez, Renaud Dessalles, Alexandre Genadot +3

We present recent results on Piecewise Deterministic Markov Processes (PDMPs), involved in biological modeling. PDMPs, first introduced in the probabilistic literature by Davis (19…

stat.ME2017

Estimation of the average number of continuous crossings for non-stationary non-diffusion processes

Romain Azaïs, Alexandre Genadot

Assume that you observe trajectories of a non-diffusive non-stationary process and that you are interested in the average number of times where the process crosses some threshold (…

math.ST2016

Inference for conditioned Galton-Watson trees from their Harris path

Romain Azaïs, Alexandre Genadot, Benoît Henry

Tree-structured data naturally appear in various fields, particularly in biology where plants and blood vessels may be described by trees, but also in computer science because XML…

math.PR2016

Averaging for some simple constrained Markov processes

Alexandre Genadot

In this paper, a class of piecewise deterministic Markov processes with underlying fast dynamic is studied. Using a "penalty method" , an averaging result is obtained when the unde…