1. Estimation and variable selection in nonparametric heteroscedastic regression

   • Paul Yau
   • Robert Kohn

   OriginalPaper Pages: 191 - 208

2. Discretisation for inference on normal mixture models

   • Mark J. Brewer

   OriginalPaper Pages: 209 - 219

3. Improved generalized Fourier amplitude sensitivity test (FAST) for model assessment

   • Shoufan Fang
   • George Z. Gertner
   • Alan Anderson

   OriginalPaper Pages: 221 - 226

4. Statistical modelling of artificial neural networks using the multi-layer perceptron

   • Murray Aitkin
   • Rob Foxall

   OriginalPaper Pages: 227 - 239

5. Dependence maps: Local dependence in practice

   • M. C. Jones
   • I. Koch

   OriginalPaper Pages: 241 - 255

6. The EM algorithm with gradient function update for discrete mixtures with known (fixed) number of components

   • Dankmar Böhning

   OriginalPaper Pages: 257 - 265

7. Projection techniques for nonlinear principal component analysis

   • Richard J. Bolton
   • David J. Hand
   • Andrew R. Webb

   OriginalPaper Pages: 267 - 276

8. Numerical optimization and surface estimation with imprecise function evaluations

   • Harry Joe
   • John C. Nash

   OriginalPaper Pages: 277 - 286