Zobrazeno 1 - 10
of 1 329
pro vyhledávání: '"Clairon A"'
Autor:
Eduardo Jorge Lira Antunes da Silva, Cristina Souza de Araújo, Jucimar Maia da Silva Junior, Roberto Junio Rodrigues Gomes, Larissa Roque Carvalho, Luis Cuevas Rodriguez, Clairon Lima Pinheiro
Publikováno v:
Journal on Interactive Systems, Vol 15, Iss 1 (2024)
The development of software aligned with Web3 innovations is essential to stimulate discussions on the application of these technologies in the scientific realm. This study presents the development of a 'cryptogame,' a game that integrates blockchain
Externí odkaz:
https://doaj.org/article/977fbe7245a0452aad49973309bba311
Autor:
Clairon, Quentin, Samson, Adeline
We deal with the problem of parameter estimation in stochastic differential equations (SDEs) in a partially observed framework. We aim to design a method working for both elliptic and hypoelliptic SDEs, the latters being characterized by degenerate d
Externí odkaz:
http://arxiv.org/abs/2108.05775
We present a parameter estimation method for nonlinear mixed effect models based on ordinary differential equations (NLME-ODEs). The method presented here aims at regularizing the estimation problem in presence of model misspecifications, practical i
Externí odkaz:
http://arxiv.org/abs/2102.11543
Autor:
Quentin Clairon, Mélanie Prague, Delphine Planas, Timothée Bruel, Laurent Hocqueloux, Thierry Prazuck, Olivier Schwartz, Rodolphe Thiébaut, Jérémie Guedj
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 8, p e1011282 (2023)
Because SARS-CoV-2 constantly mutates to escape from the immune response, there is a reduction of neutralizing capacity of antibodies initially targeting the historical strain against emerging Variants of Concern (VoC)s. That is why the measure of th
Externí odkaz:
https://doaj.org/article/7a6ead9f887c452db7569b3b23028047
Autor:
Clairon, Quentin
We present a parameter estimation method in Ordinary Differential Equation (ODE) models. Due to complex relationships between parameters and states the use of standard techniques such as nonlinear least squares can lead to the presence of poorly iden
Externí odkaz:
http://arxiv.org/abs/1810.03866
Autor:
Clairon, Quentin1,2,3 (AUTHOR), Prague, Mélanie1,2,3 (AUTHOR), Planas, Delphine3,4 (AUTHOR), Bruel, Timothée3,4 (AUTHOR), Hocqueloux, Laurent5 (AUTHOR), Prazuck, Thierry5 (AUTHOR), Schwartz, Olivier3,4 (AUTHOR), Thiébaut, Rodolphe1,2,3 (AUTHOR) rodolphe.thiebaut@u-bordeaux.fr, Guedj, Jérémie6 (AUTHOR)
Publikováno v:
PLoS Computational Biology. 8/7/2023, Vol. 19 Issue 8, p1-20. 20p. 4 Charts, 5 Graphs.
Publikováno v:
Computational Statistics; Sep2024, Vol. 39 Issue 6, p2975-3005, 31p
Autor:
Clairon, Quentin, Brunel, Nicolas
Ordinary Differential Equations are a simple but powerful framework for modeling complex systems. Parameter estimation from times series can be done by Nonlinear Least Squares (or other classical approaches), but this can give unsatisfactory results
Externí odkaz:
http://arxiv.org/abs/1410.7558
Autor:
Brunel, Nicolas, Clairon, Quentin
Ordinary Differential Equations are widespread tools to model chemical, physical, biological process but they usually rely on parameters which are of critical importance in terms of dynamic and need to be estimated directly from the data. Classical s
Externí odkaz:
http://arxiv.org/abs/1410.7554
Publikováno v:
Brunel, N. JB, Clairon, Q., d Alche Buc, F. (2014). Parametric Estimation of Ordinary Differential Equations With Orthogonality Conditions. Journal of the American Statistical Association, 109(505), 173-185
Differential equations are commonly used to model dynamical deterministic systems in applications. When statistical parameter estimation is required to calibrate theoretical models to data, classical statistical estimators are often confronted to com
Externí odkaz:
http://arxiv.org/abs/1410.7566