J. Vila

发表

Optimal designs based on exact confidence regions for parameter estimation of a nonlinear regression model

J. Vila, J. Gauchi, 2007 .

Identification, Estimation, and Control of Uncertain Dynamic Systems: A Nonparametric Approach

V. Rossi, V. Wagner, N. Hilgert, 2007 .

Bayesian selection of multiresponse nonlinear regression model

V. Rossi, J. Vila, 2008 .

Radial basis network approach for nonlinear filtering in discrete time

V. Rossi, J. Vila, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Predictive Control of Discrete Time Stochastic Nonlinear State Space Dynamical Systems: A Particle Nonparametric Approach

J. Vila, J. Gauchi, 2019 .

Identification of complex microbiological dynamic systems by nonlinear filtering

J. Augustin, J. Vila, J. Gauchi, 2009 .

Enhanced consistency of the Resampled Convolution Particle Filter

J. Vila, 2012 .

Nonparametric multi-step prediction in nonlinear state space dynamic systems

J. Vila, 2011 .

Nonlinear filtering in discrete time : A particle convolution approach

Jean-Pierre Vila, V. Rossi, J. Vila, 2006 .

Standardized Comparison of Nonlinear Model Fitting Algorithms

A. Messéan, J. Vila, S. Leroux, 1982 .

Change detection for uncertain autoregressive dynamic models through nonparametric estimation

N. Hilgert, J. Vila, G. Verdier, 2016 .

Local optimality of replications from a minimal X-optimal design in regression: A sufficient and quasi-necessary condition

J. Vila, J. Gauchi, 2010 .

Some Optimal CUSUM Rule Extensions in Dynamic Model Parameter Change-point Detection Problems

N. Hilgert, J. Vila, G. Verdier, 2009 .

Predictive Control of Discrete Time Stochastic Nonlinear State Space Dynamical Systems: A Particle Nonparametric Approach

J. Vila, J. Gauchi, 2017, Applied Mathematics & Optimization.

Nonparametric particle filtering approaches for identification and inference in nonlinear state-space dynamic systems

J. Vila, J. Gauchi, 2012, Statistics and Computing.

New Algorithmic and Software Tools for D-Optimal Design Computation in Nonlinear Regression

J. P. Vila, J. Vila, 1988 .

State-space modelling of data on marked individuals

Olivier Gimenez, Rémi Choquet, Hubert Varella, 2007 .

Bayesian multioutput feedforward neural networks comparison: a conjugate prior approach

Jean-Pierre Vila, Vivien Rossi, V. Rossi, 2006, IEEE Transactions on Neural Networks.

Nonparametric estimation of uncertain components in nonlinear dynamical system modelling

N. Hilgert, R. Senoussi, N. Hilgert, 1997, 1997 European Control Conference (ECC).

Nonparametric identification of controlled nonlinear time varying processes

Jean-Pierre Vila, Nadine Hilgert, Rachid Senoussi, 2000, Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228).

Immune response gene(s) controlling the humoral antilysozyme response (Ir-Lys) linked to the major histocompatibility complexSL-A in the pig

J. Vila, M. Vaiman, C. Renard, 1978, Immunogenetics.

Local optimality of replications from a minimal D-optimal design in regression: A sufficient and quasi-necessary condition

Jean-Pierre Vila, J. Vila, 1991 .

Exact Experimental Designs Via Stochastic Optimization for Nonlinear Regression Models

J. P. Vila, J. Vila, 1990 .

Optimality of CUSUM Rule Approximations in Change-Point Detection Problems: Application to Nonlinear State–Space Systems

Jean-Pierre Vila, Nadine Hilgert, Ghislain Verdier, 2008, IEEE Transactions on Information Theory.

New Prediction Interval and Band in the Nonlinear Regression Model: Application to Predictive Modeling in Foods

Louis Coroller, Jean-Pierre Gauchi, Jean-Pierre Vila, 2010, Commun. Stat. Simul. Comput..

Nonparametric particle filtering approaches for identification and inference in nonlinear state-space dynamic systems

Jean-Pierre Gauchi, Jean-Pierre Vila, J. Vila, 2012, Statistics and Computing.

Nonparametric identification and adaptive control of an anaerobic fluidized bed digester

Jérôme Harmand, Jean-Pierre Vila, Nadine Hilgert, 2000 .