Marco Alfò

Learn More
Knowledge about the balance between heritable and nonheritable risk in multiple sclerosis (MS) is based on twin studies in high-prevalence areas. In a study that avoided ascertainment limitations and directly compared continental Italy (medium-prevalence) and Sardinia (high-prevalence), we ascertained 216 pairs from 34,549 patients. This gives a twinning(More)
• A two-level finite mixture model for clustering customers and products is proposed. • Clusters of products nested in segments of customers are determined. • Customer/product features influence the allocation to segments/clusters. • An appropriate EM algorithm is presented for the special case of purchase counts. • The application shows high purchase rate(More)
The present paper presents the application of a finite mixture model (FMM) to analyze spatially explicit data on forest composition and environmental variables to produce a high-resolution map of their current potential distribution. FMM provides a convenient yet formal setting for model-based clustering. Within this framework, forest data are assumed to(More)