292 citations
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- Université de Technologie de CompiègneFR73 papers
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8 papers · 1 filter
A robust Bayesian analysis of variable selection under prior ignorance
Tathagata Basu, Matthias C. M. Troffaes, Jochen Einbeck
We propose a cautious Bayesian variable selection routine by investigating the sensitivity of a hierarchical model, where the regression coefficients are specified by spike and sla…
A regression model with a hidden logistic process for feature extraction from time series
Faicel Chamroukhi, Allou Samé, Gérard Govaert +1
A new approach for feature extraction from time series is proposed in this paper. This approach consists of a specific regression model incorporating a discrete hidden logistic pro…
A regression model with a hidden logistic process for signal parametrization
Faicel Chamroukhi, Allou Samé, Gérard Govaert +1
A new approach for signal parametrization, which consists of a specific regression model incorporating a discrete hidden logistic process, is proposed. The model parameters are est…
Time series modeling by a regression approach based on a latent process
Faicel Chamroukhi, Allou Samé, Gérard Govaert +1
Time series are used in many domains including finance, engineering, economics and bioinformatics generally to represent the change of a measurement over time. Modeling techniques…
A hidden process regression model for functional data description. Application to curve discrimination
Faicel Chamroukhi, Allou Samé, Gérard Govaert +1
A new approach for functional data description is proposed in this paper. It consists of a regression model with a discrete hidden logistic process which is adapted for modeling cu…
Model-based clustering and segmentation of time series with changes in regime
Allou Samé, Faicel Chamroukhi, Gérard Govaert +1
Mixture model-based clustering, usually applied to multidimensional data, has become a popular approach in many data analysis problems, both for its good statistical properties and…