Interval Analysis for Guaranteed Nonlinear Parameter Estimation

By Éric Walter, Michel Kieffer. 2003

55 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Control and Systems Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/b8bdd430229b70f74dcaca626954397e29e3b830

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Éric Walter
2. Michel Kieffer
3. Luc Pronzato
4. Andrej Pázman
5. Jean-Pierre Merlet
6. Tarek Raïssi
7. Denis V. Efimov
8. Ali Zolghadri

In Control and Systems Engineering

1. Luc Pronzato
2. Andrej Pázman
3. Éric Walter
4. Michel Kieffer
5. Tarek Raïssi
6. Denis V. Efimov
7. Ali Zolghadri

In Molecular Biology

1. Luc Pronzato
2. Andrej Pázman
3. Éric Walter
4. Michel Kieffer

Citations in the corpus

• Guaranteed estimation of the parameters of nonlinear continuous‐time models: Contributions of interval analysis (2011, methodology): “Consider the seemingly simple compartmental model [14] described by Figure 1.”
• Design of Experiments in Nonlinear Models: Asymptotic Normality, Optimality Criteria and Small-Sample Properties (2013, methodology): “09) , the value of the LS estimator obtained from the data in (Kieffer and Walter, 1998) with the 16point design X0 = (1, 2, .”
• Applied Interval Analysis (2001, background): “22) for p by SIVIAX, page 104, it is possible to cut down computing time to about one minute (Kieffer and Walter, 1998).”