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Last edited on
Oct 17, 2024 by JJ
.
Thesis:
Bachelor in Mathematics

Author:
Bérénice Robert

Title:
Posterior concentration rates for Aalen processes

Supervisors:
Sergio Brenner Miguel and Jan JOHANNES

Abstract:
In this thesis, we derive posterior contraction rates in the context of Aalen multiplicative intensity models. We will impose on a finite time interval sufficient conditions, which are similar to those proposed in the density estimation problem. We will look at two examples; in the first one, we will notice that a counting process in right-censoring models fulfills the Aalen multiplicative intensity model and in the second one, we will consider the Dirichlet process as a prior on the set of monotone nonincreasing densities using their representation as mixtures of uniform densities.

References:
S. Donnet, V. Rivoirard, J. Rousseau, and C. Scricciolo. Posterior concentration rates for empirical Bayes procedures with applications to Dirichlet process mixtures. Bernoulli, 24(1):231–256, 2018.
S. Donnet, V. Rivoirard, J. Rousseau, and C. Scricciolo. Posterior concentration rates for counting processes with Aalen multiplicative intensities. Bayesian Analysis, 12(1):53–87, 2017.