Morlini I., Minerva T., Vichi M. Advances in Statistical Models for Data Analysis

Springer, 2015. — 268 p. — (Studies in Classification, Data Analysis, and Knowledge Organization). — ISBN: 9783319173764, 9783319173771.This edited volume focuses on recent research results in classification, multivariate statistics and machine learning and highlights advances in statistical models for data analysis. The volume provides both methodological developments and contributions to a wide range of application areas such as economics, marketing, education, social sciences and environment. The papers in this volume were first presented at the 9th biannual meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, held in September 2013 at the University of Modena and Reggio Emilia, Italy.Luigi Augugliaro and Angelo M. Mineo
Using the dglars Package to Estimate a Sparse Generalized Linear Model
Antonio Balzanella and Romano Elvira
A Depth Function for Geostatistical Functional Data
Jessica Cariboni, Andrea Pagano, Domenico Perrotta, and Francesca Torti
Robust Clustering of EU Banking Data
Roberto Casarin, Marco Tronzano, and Domenico Sartore
Sovereign Risk and Contagion Effects in the Eurozone: A Bayesian Stochastic Correlation Model
Rosalia Castellano, Gennaro Punzo, and Antonella Rocca
Female Labour Force Participation and Selection Effect: Southern vs Eastern European Countries
Pier Luigi Conti and Daniela Marella
Asymptotics in Survey Sampling for High Entropy Sampling Designs
Claudio Conversano, Massimo Cannas, and Francesco Mola
Rosario D’Agata and Venera Tomaselli
A Note on the Use of Recursive Partitioning in Causal Inference Meta-Analysis of Poll Accuracy Measures: A Multilevel Approach
Utkarsh J. Dang and Paul D. McNicholas
Families of Parsimonious Finite Mixtures of Regression Models
Cristina Davino and Domenico Vistocco
Quantile Regression for Clustering and Modeling Data
Carlo Drago and Antonio Balzanella
Nonmetric MDS Consensus Community Detection
Marco Enea and Antonella Plaia
The Performance of the Gradient-Like Influence Measure in Generalized Linear Mixed Models
Salvatore Fasola and Mariangela Sciandra
New Flexible Probability Distributions for Ranking Data
Luigi Grossi and Fany Nan
Robust Estimation of Regime Switching Models
Alfonso Iodice D’Enza and Angelos Markos
Incremental Visualization of Categorical Data
Carmela Iorio, Massimo Aria, and Antonio D’Ambrosio
A New Proposal for Tree Model Selection and Visualization
Daniela Marella and Paola Vicard
Object-Oriented Bayesian Network to Deal with Measurement Error in Household Surveys
Maria Adele Milioli, Lara Berzieri, and Sergio Zani
Comparing Fuzzy and Multidimensional Methods to Evaluate Well-Being in European Regions
Isabella Morlini and Stefano Orlandini
Cluster Analysis of Three-Way Atmospheric
Akinori Okada and Satoru Yokoyama
Data Asymmetric CLUster Analysis Based on SKEW-Symmetry: ACLUSKEW
Antonio Punzo and Salvatore Ingrassia
Parsimonious Generalized Linear Gaussian Cluster-Weighted Models
Emanuela Raffinetti and Pier Alda Ferrari
New Perspectives for the MDC Index in Social Research Fields
Monia Ranalli and Roberto Rocci
Clustering Methods for Ordinal Data: A Comparison Between Standard and New Approaches
John Shawe-Taylor and Blaž Žlicar
Novelty Detection with One-Class Support Vector Machines
Isabella Sulis, Francesca Giambona, and Nicola Tedesco
Using Discrete-Time Multistate Models to Analyze Students’ University Pathways