International audienceThis paper deals with the minimax parameter estimation of nonlinear parametric models from experimental data. Taking advantage of the special structure of the minimax problem, a new e¢cient and reliable algorithm based on interval constraint propagation is proposed. As an illustration, the ill-conditioned problem of estimating the parameters of a two-exponential model is considered
We discuss two numerical approaches to linear minimax estimation in linear models under ellipsoidal ...
How to estimate parameters from observations subject to errors and uncertainty? Very often, the meas...
This paper focuses on a situation where the decision-maker prefers to make a point-decision when the...
International audienceThis paper deals with the minimax parameter estimation of nonlinear parametric...
Abstract—Minimax parameter estimation aims at character-izing the set of all values of the parameter...
International audienceBounded-error estimation is the estimation of the parameter or state vector of...
International audienceThis paper is about guaranteed parameter estimation in two contexts, namely bo...
pages 58-71 http://www.springer.com/computer/ai/book/978-3-7908-1387-6This paper deals with the esti...
Nonlinear parameter estimation is usually achieved via the minimization of some possibly non-convex ...
A differential correction technique for solving nonlinear minimax problems is presented. The basis o...
International audienceMINLP problems are hard constrained optimization problems, with nonlinear cons...
AbstractMinimax estimators under squared error loss are derived for the location parameter of a nonc...
The problem of designing optimal algorithms for estimating random ele-ments has received earlier con...
Abstract: The fundamental problems of minimax estimation are described and the solving met...
We discuss two numerical approaches to linear minimax estimation in linear models under ellipsoidal ...
How to estimate parameters from observations subject to errors and uncertainty? Very often, the meas...
This paper focuses on a situation where the decision-maker prefers to make a point-decision when the...
International audienceThis paper deals with the minimax parameter estimation of nonlinear parametric...
Abstract—Minimax parameter estimation aims at character-izing the set of all values of the parameter...
International audienceBounded-error estimation is the estimation of the parameter or state vector of...
International audienceThis paper is about guaranteed parameter estimation in two contexts, namely bo...
pages 58-71 http://www.springer.com/computer/ai/book/978-3-7908-1387-6This paper deals with the esti...
Nonlinear parameter estimation is usually achieved via the minimization of some possibly non-convex ...
A differential correction technique for solving nonlinear minimax problems is presented. The basis o...
International audienceMINLP problems are hard constrained optimization problems, with nonlinear cons...
AbstractMinimax estimators under squared error loss are derived for the location parameter of a nonc...
The problem of designing optimal algorithms for estimating random ele-ments has received earlier con...
Abstract: The fundamental problems of minimax estimation are described and the solving met...
We discuss two numerical approaches to linear minimax estimation in linear models under ellipsoidal ...
How to estimate parameters from observations subject to errors and uncertainty? Very often, the meas...
This paper focuses on a situation where the decision-maker prefers to make a point-decision when the...