Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.

A number of special representations are considered for the joint distribution of qualitative, mostly binary, and quantitative variables. In addition to the conditional Gaussian models and to ...

This paper is concerned with the analysis of clustered data from developmental toxicity studies with mixed responses, i.e., where each member of the cluster has binary and continuous outcomes. A ...

Swaptions and constant maturity swap spread options are essential to calibrating interest rate models yet remain computationally demanding. Toufik Bellaj, Khalid Bellaj and Hicham Nait Yahia propose a ...