217 citations
- Université Toulouse III - Paul SabatierFR59 papers
- Centre National de la Recherche ScientifiqueFR46 papers
- Institut National des Sciences Appliquées de ToulouseFR45 papers
- Toulouse Mathematics Institute33 papers
- Université Fédérale de Toulouse Midi-PyrénéesFR32 papers
- Institut national de recherche en sciences et technologies du numériqueFR6 papers
- Institut de Mathématiques de Jussieu-Paris Rive GaucheFR5 papers
- Laboratoire d’Analyse et de Mathématiques AppliquéesFR5 papers
- Laboratoire de Mathématiques Blaise PascalFR5 papers
- Institut de Mathématiques de MarseilleFR4 papers
- Laboratoire de Mathématiques de VersaillesFR4 papers
- Département de mathématiques et applicationsFR3 papers
7 papers · 1 filter
Sensitivity indices for multivariate outputs
Fabrice Gamboa, Alexandre Janon, Thierry Klein +1
We define and study a generalization of Sobol sensitivity indices for the case of a vector output.
Shape invariant model approach for functional data analysis in uncertainty and sensitivity studies
Ekaterina Sergienko, Fabrice Gamboa, Daniel Busby
Dynamic simulators model systems evolving over time. Often, it operates iteratively over fixed number of time-steps. The output of such simulator can be considered as time series o…
Statistical inference for Sobol pick freeze Monte Carlo method
Fabrice Gamboa, Alexandre Janon, Thierry Klein +2
Many mathematical models involve input parameters, which are not precisely known. Global sensitivity analysis aims to identify the parameters whose uncertainty has the largest impa…
Stable variable selection for right censored data: comparison of methods
Marie Walschaerts, Eve Leconte, Philippe Besse
The instability in the selection of models is a major concern with data sets containing a large number of covariates. This paper deals with variable selection methodology in the ca…
Mining a medieval social network by kernel SOM and related methods
Nathalie Villa, Fabrice Rossi, Quoc-Dinh Truong
This paper briefly presents several ways to understand the organization of a large social network (several hundreds of persons). We compare approaches coming from data mining for c…
Storms prediction : Logistic regression vs random forest for unbalanced data
Anne Ruiz, Nathalie Villa
The aim of this study is to compare two supervised classification methods on a crucial meteorological problem. The data consist of satellite measurements of cloud systems which are…