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An Empirical Comparison of V-fold Penalisation and Cross Validation for Model...
Model selection is a crucial issue in machine-learning and a wide variety of penalisation methods (with possibly data dependent complexity penalties) have recently... -
Osteoporosis Assessment Using Multilayer Perceptron Neural Networks
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Threshold regression models adapted to case-control studies. Application to l...
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Optimal cross-validation in density estimation
The performance of cross-validation (CV) is analyzed in two contexts: (i) risk estimation and (ii) model selection in the density estimation framework. The main focus... -
On a model selection problem from high-dimensional sample covariance matrices
International audience -
Top scoring pair classifiers: asymptotics and applications
The original top scoring pair (TSP) classifier was proposed by Geman et al. (2004) for binary classification of diseases based on genetic profiles. We show the... -
Local smoothing regression with functional data
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Response to the comments by J. Larsen and L. K. Hansen for : Rivals I. & Pers...
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Estimation of Energy Savings through a Kriging Metamodel
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Parametric estimation of covariance function in Gaussian-process based Krigin...
The parametric estimation of the covariance function of a Gaussian process is studied, in the framework of the Kriging model. Maximum Likelihood and Cross Validation... -
Use of posterior predictive assessments to evaluate model fit in multilevel l...
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Discrete associated kernels method and extensions
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Appropriate kernel regression on a count explanatory variable and applications
International audience
