Deviations from theoretical assumptions together with the presence of certain amount of
outlying observations are common in many practical statistical applications. This is also the …

Network models are widely used to represent relations between interacting units or actors.
Network data often exhibit transitivity, meaning that two actors that have ties to a third actor …

This work stems from the idea of describing the scientific productivity of Italian statisticians.
There are several problems that must be addressed in achieving this goal: What data should …

Abstract The Forward Search is a powerful general method, incorporating flexible data-
driven trimming, for the detection of outliers and unsuspected structure in data and so for …

Trimming principles play an important role in robust statistics. However, their use for
clustering typically requires some preliminary information about the contamination rate and …

The forward search provides a series of robust parameter estimates based on increasing
numbers of observations. The resulting series of robust Mahalanobis distances is used to …

Abstract The Forward Search is a powerful general method for detecting anomalies in
structured data, whose diagnostic power has been shown in many statistical contexts …

We propose a novel method and algorithm for the analysis and clustering of mixed-type data
using a hierarchical approach based on Forward Search. In our procedure, the identification …

The forward search is a method of robust data analysis in which outlier free subsets of the
data of increasing size are used in model fitting; the data are then ordered by closeness to …

The paper considers the problem of testing for multiple outliers in a regression model and
provides fast approximations to the null distribution of the minimum deletion residual used …