Statistical Learning and Modeling in Data Analysis

Chapter 1 - Interpreting E ects in Generalized Linear Modeling (Alan Agresti, Claudia Tarantola, and Roberta Varriale).- Chapter 2 - ACE, AVAS and Robust Data Transformations: Performance of Investment Funds (Anthony C. Atkinson, Marco Riani, Aldo Corbellini, and Gianluca Morelli).- Chapter 3 - Predictive Principal Component Analysis (Simona Balzano, Maja Bozic, Laura Marcis, and Renato Salvatore).- Chapter 4 - Robust model-based learning to discover new wheat varieties and discriminate adulterated kernels in X-ray images (Andrea Cappozzo, Francesca Greselin, and Thomas Brendan Murphy).- Chapter 5 - A dynamic model for ordinal time series: an application to consumers' perceptions of in ation (Marcella Corduas).- Chapter 6 - Deep learning to jointly analyze images and clinical data for disease detection (Federica Crobu and Agostino Di Ciaccio).- Chapter 7 -Studying A liation Networks through Cluster CA and Blockmodeling (Daniela D'Ambrosio, Marco Serino, and Giancarlo Ragozini).- Chapter 8 - Sectioning Procedure on Geostatistical Indices Series of Pavement Road Profiles (Mauro D'Apuzzo, Rose-Line Spacagna, Azzurra Evangelisti, Daniela Santilli, and Vittorio Nicolosi).-  Chapter 9 - Directional supervised learning through depth functions: an application to ECG waves analysis (Houyem Demni).- Chapter 10 - Penalized vs. contrained approaches for clusterwise linear regression modelling (Roberto Di Mari, Stefano Antonio Gattone, and Roberto Rocci).- Chapter 11 - E ect measures for group comparisons in a two-component mixture model: a cyber risk analysis (Maria Iannario and Claudia Tarantola).- Chapter 12 - A Cramér-von Mises test of uniformity on the hypersphere (Eduardo García-Portugués, Paula Navarro-Esteban, and Juan Antonio Cuesta-Albertos).- Chapter 13 - On mean and/or variance mixtures of normal distributions (Sharon X. Lee and Geo rey J. McLachlan).- Chapter 14 - Robust depth-based inference in elliptical models (Stanislav Nagy and Jirí Dvorák).- Chapter 15 -

Simona Balzano is an Assistant Professor of Statistics at the University of Cassino and Southern Lazio, Italy, where she teaches on data analysis and research methods in management. Her recent research activities concern multivariate analysis, partial least squares regression and path-modeling, and structural equation modeling. Her interests include applications in performance analysis, consumer analysis, and other related fields of business and industry.

Giovanni C. Porzio is a Professor of Statistics at the University of Cassino and Southern Lazio, Italy, where he has previously served as Department Head and Director of Graduate Studies in Economics. His research interests include directional statistics, statistical learning, nonparametric multivariate analysis and data depth, graphical methods and data visualization. His research work has appeared in several journals and books.


Renato Salvatore is an Assistant Professor of Economic Statistics at the University of Cassino and Southern Lazio, Italy. He has co-authored papers, book chapters, and proceedings on sampling surveys, small area estimation, and multivariate analysis. In addition, he has been co-editor of several conference proceedings, and currently teaches on economic statistics and market analysis.

Domenico Vistocco is an Associate Professor of Statistics at the University of Naples Federico II, Italy. He is an Associate Editor of Computational Statistics and Editorial Manager of Statistica Applicata - Italian Journal of Applied Statistics. He has co-authored two books on quantile regression and ca. 100 papers, book chapters, proceedings, post-proceedings and editorials on various statistical topics. He teaches on statistical inference, data analysis, applied statistics and statistical programming. His research interests include quantile regression, computational statistics, statistical models, exploratory data analysis and visualization.