Estimation and variable selection in nonparametric heteroscedastic regression
Discretisation for inference on normal mixture models
Improved generalized Fourier amplitude sensitivity test (FAST) for model assessment
Statistical modelling of artificial neural networks using the multi-layer perceptron
Dependence maps
The EM algorithm with gradient function update for discrete mixtures with known (fixed) number of components
Projection techniques for nonlinear principal component analysis
Numerical optimization and surface estimation with imprecise function evaluations