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Inference in hidden Markov models and particle approximations. Application to...
This thesis is dedicated to inference problems in hidden Markov models. The first part is devoted to an online maximum likelihood estimation procedure which does not... -
Contributions to the indoor localisation. From the modelization to the theore...
Foreshadowing the next big step in the field of navigation, indoor geolocation has been a very active field of research in the last few years. While geolocation... -
STATISTICAL SIGNAL PROCESSING FOR NUCLEAR SPECTROMETRY: application to pileup...
The main objective of spectrometry is to characterize the radioactive elements of an unknown source by studying the energy of the emitted gamma photons. When a photon... -
Histogram, regressogram and frequency polygon in continous time
Nos travaux portent sur l'estimation non paramétrique de la densité d'un processus à temps continu, faiblement stationnaire et à valeurs dans Rd lorsqu'une trajectoire... -
Nonparametric estimation for piecewise-deterministic Markov processes
Piecewise-deterministic Markov processes (PDMP’s) have been introduced by M.H.A. Davis as a general family of non-diffusion stochastic models, involving deterministic... -
On the semiparametric robust estimation in functional statistic
In this thesis, we propose to study some functional parameters when the data are generated from a model of regression to a single index. We study two functional... -
Nonparametric estimation in inverse problems with noisy operator
This thesis focuses on the impact of the imprecision on a linear operator when the latter is at stake in an inverse problem. The usual framework of an inverse problem...
