Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Jean-Pierre Vila"'
Autor:
Jean-Pierre Vila, Jean-Pierre Gauchi
Publikováno v:
Applied Mathematics and Optimization
Applied Mathematics and Optimization, Springer Verlag (Germany), 2019, 80 (1), pp.165-194. ⟨10.1007/s00245-017-9462-9⟩
Applied Mathematics and Optimization, Springer Verlag (Germany), 2019, 80 (1), pp.165-194. ⟨10.1007/s00245-017-9462-9⟩
International audience; This paper presents the main principles of a stochastic nonlinear model predictive control (NMPC) novel approach for imperfectly observed discrete time systems described by time varying nonlinear non-Gaussian state space model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0200a3f9f059cdd2b52b3a11841428ed
https://hal.inrae.fr/hal-02624211
https://hal.inrae.fr/hal-02624211
Autor:
Ignacio Portales-Castillo, Thomas Dean, Ross W. Cheloha, Brendan A. Creemer, Jean-Pierre Vilardaga, Sofya Savransky, Ashok Khatri, Harald Jüppner, Thomas J. Gardella
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-16 (2023)
Abstract The parathyroid hormone receptor type 1 (PTH1R) is a G protein-coupled receptor that plays key roles in regulating calcium homeostasis and skeletal development via binding the ligands, PTH and PTH-related protein (PTHrP), respectively. Eiken
Externí odkaz:
https://doaj.org/article/d0a31e57caaa4dbf92dd88b401fee037
Publikováno v:
Statistical Methodology
Statistical Methodology, Elsevier, 2016, 33, pp.96-113. ⟨10.1016/j.stamet.2016.08.003⟩
Statistical Methodology (33), 96–113. (2016)
Statistical Methodology, Elsevier, 2016, 33, pp.96-113. ⟨10.1016/j.stamet.2016.08.003⟩
Statistical Methodology (33), 96–113. (2016)
A new statistical approach for on-line change detection in uncertain dynamic system is proposed. In change detection problem, the distribution of a sequence of observations can change at some unknown instant. The goal is to detect this change, for ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c2db382ba1d4c1e624edb25932d5594
https://hal.archives-ouvertes.fr/hal-01581265
https://hal.archives-ouvertes.fr/hal-01581265
Autor:
Jean-Pierre Vila
Publikováno v:
Statistics and Probability Letters 1 (81), 71-76. (2011)
Filtering and smoothing of stochastic state space dynamic systems have benefited from several generations of estimation approaches since the seminal works of Kalman in the sixties. A set of global analytical or numerical methods are now available, su
Publikováno v:
Computational Statistics and Data Analysis
Computational Statistics and Data Analysis, Elsevier, 2008, 52 (9), pp.4161-4174. ⟨10.1016/j.csda.2008.01.026⟩
Computational Statistics and Data Analysis, Elsevier, 2008, 52 (9), pp.4161-4174. ⟨10.1016/j.csda.2008.01.026⟩
aeres : ACL; International audience; Statistical methods dealing with change detection and isolation in dynamical systems are based on algorithms deriving from hypothesis testing. As for any statistical test, the problem of threshold choice has to be
Publikováno v:
11th International Symposium on Applied Stochastic Models and Data Analysis Location : ASMDA 2005
11th International Symposium on Applied Stochastic Models and Data Analysis Location : ASMDA 2005, May 2005, Brest, France. pp.2509-2525, ⟨10.1080/03610920701270923⟩
Communications in Statistics-Theory and Methods
Communications in Statistics-Theory and Methods, Taylor & Francis, 2007, 36 (14), pp.2509-2525. ⟨10.1080/03610920701270923⟩
Communications in Statistics. Theory and Methods
11th International Symposium on Applied Stochastic Models and Data Analysis Location : ASMDA 2005, May 2005, Brest, France. pp.2509-2525, ⟨10.1080/03610920701270923⟩
Communications in Statistics-Theory and Methods
Communications in Statistics-Theory and Methods, Taylor & Francis, 2007, 36 (14), pp.2509-2525. ⟨10.1080/03610920701270923⟩
Communications in Statistics. Theory and Methods
International audience; This article is devoted to a presentation of the authors’ practice of the nonparametric estimation theory for the estimation, filtering, and control of uncertain dynamic systems. The fundamental advantage of this approach is
Autor:
Jean-Pierre Vila, VéRèNe Wagner
Publikováno v:
Automatica. 39:767-777
We consider the problem of predictive control of uncertain stochastic discrete I/O systems. Given a model identification procedure able to give accurate output system estimates, e.g. a neural network approximation, we use another feedforward neural n
Publikováno v:
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks, Institute of Electrical and Electronics Engineers, 2000, 11 (2), pp.265-278
IEEE Transactions on Neural Networks, Institute of Electrical and Electronics Engineers, 2000, 11 (2), pp.265-278
In order to select the best predictive neural-network architecture in a set of several candidate networks, we propose a general Bayesian nonlinear regression model comparison procedure, based on the maximization of an expected utility criterion. This
Publikováno v:
Ecological Modelling. 120:119-130
The aim of this paper is to present to the community of ecologists concerned with predictive modelling by feedforward neural network, a new statistical approach to select the best neural network architecture (number of layers, number of neurons per l
Autor:
Jean-Pierre Vila, Jean-Pierre Gauchi
Publikováno v:
Statistics and Computing
Statistics and Computing, Springer Verlag (Germany), 2013, 23 (4), pp.523-533. ⟨10.1007/s11222-012-9327-7⟩
Statistics and Computing, Springer Verlag (Germany), 2013, 23 (4), pp.523-533. ⟨10.1007/s11222-012-9327-7⟩
online first; International audience; Most system identification approaches and statistical inference methods rely on the availability of the analytic knowledge of the probability distribution function of the system output variables. In the case of d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2154edd674dbab89b63ab9bfc21b7392
https://hal.inrae.fr/hal-02648640
https://hal.inrae.fr/hal-02648640