Recursion at the crossroads of sequence modeling, random trees, stochastic algorithms and martingales

This monograph synthesizes several studies spanning from dynamical systems in the statistical analysis of sequences, to analysis of algorithms in random trees and discrete stochastic processes. These works find applications in various fields ranging from biological sequences to linear regression models, branching processes, through functional statistics and estimates of risk indicators for insurances. All the established results use, in one way or another, the recursive property of the structure under study, by highlighting invariants such as martingales, which are at the heart of this monograph, as tools as well as objects of study.

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Source https://theses.hal.science/tel-00954528
Author Cénac, Peggy
Maintainer CCSD
Last Updated May 6, 2026, 04:14 (UTC)
Created May 6, 2026, 04:14 (UTC)
Identifier tel-00954528
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Institut de Mathématiques de Bourgogne [Dijon] (IMB) ; Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)
creator Cénac, Peggy
date 2013-11-15T00:00:00
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