Modélisation probabiliste et inférence bayésienne pour l’analyse de la dynamique des mélanges de fluides géologiques : détection des structures et estimation des paramètres

Autor: Reype, Christophe

Publikováno v: Statistiques [math.ST]. Université de Lorraine, 2022. Français. ⟨NNT : 2022LORR0235⟩

The analysis of hydrogeochemical data aims to improve the understanding of mass transfer in the sub-surface and the Earth's crust. This work focuses on the study of fluid-fluid interactions through fluid mixing systems, and more particularly on the d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______165::1ad693a78220a7ed14f2a8ed0842679d
https://hal.univ-lorraine.fr/tel-03948912

Estimation du potentiel d'adhérence pneumatique combinant filtrage de Kalman et apprentissage de modèle à partir de méthodes de Monte-Carlo par chaînes de Markov

Autor: Mussot, Vincent

The tire friction potential is the quantity characterizing the amount of friction remaining before the tire begins to skid on the road. Knowing this quantity during a travel turns out to be particularly advantageous, especially for the development of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______166::4527777f35c37f60e11a323289ac10ed
https://theses.hal.science/tel-03615055

Dynamiques intracellulaires et imagerie de super résolution : la paroi bacterienne sondée à l’echelle moléculaire

Autor: Lu, Yunjiao

Publikováno v: Statistics [math.ST]. Université de Rennes 1, 2021. English
Probability [math.PR]. Université de Rennes 1, 2021. English
Image Processing [eess.IV]. Université de Rennes, 2021. English. ⟨NNT : 2021REN1S082⟩

In this thesis, physical, statistical and mathematical modeling methods for the analysis of single particle trajectories have been reviewed, accompanied by experimental evaluation on a specific problem, concerning the dynamics of MreB. Firstly, we pr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4a19b7cc5316bc1f66acb6f55c658769
https://hal.archives-ouvertes.fr/tel-03265542

Behaviour of the least squares estimators of the linear model in a dependent context : Asymptotic properties, implementation, examples

Autor: Caron, Emmanuel

Publikováno v: General Mathematics [math.GM]. École centrale de Nantes, 2019. English. ⟨NNT : 2019ECDN0036⟩

In this thesis, we consider the usual linear regression model in the case where the error process is assumed strictly stationary.We use a result from Hannan (1973) who proved a Central Limit Theorem for the usual least squares estimator under general

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______212::1c8b4e4eab514c152bb9937f0d318e66
https://tel.archives-ouvertes.fr/tel-02475758

Use of sinusoidal predictors for time domain simulation of AC power systems

Autor: Gibert, Pierre-Marie

Publikováno v: General Mathematics [math.GM]. Université de Lyon, 2018. English. ⟨NNT : 2018LYSE1275⟩

Modern power systems time-domain simulations require important computational resources due to the resulting differential algebraic systems dimension and stiffness. In addition, some simulated signals oscillation frequency dramatically limits the clas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b2f99d0ec915ea5a3822e5e769cc7c16
https://tel.archives-ouvertes.fr/tel-02057898/file/TH2018GIBERTPIERREMARIE.pdf