Preface -- Contributors -- Part I Clustering and Classification -- 1.1 Cluster Weighted Beta Regression: a simulation study -- 1.2 Detecting wine adulterations employing robust mixture of Factor Analyzers -- 1.3 Simultaneous supervised and unsupervised classification modeling for assessing cluster analysis and improving results interpretability -- 1.4 A parametric version of probabilistic distance clustering -- 1.5 An overview on the URV Model-Based Approach to Cluster Mixed-Type Data -- Part II Exploratory Data Analysis -- 2.1 Preference Analysis of Architectural Facades by Multidimensional Scaling and Unfolding -- 2.2 Community Structure in Co-authorship Networks: the Case of Italian Statisticians -- 2.3 Analyzing Consumers’ Behaviour in Brand Switching -- 2.4 Evaluating the Quality of Data Imputation in Cardiovascular Risk studies Through the Dissimilarity Profile Analysis -- Part III Statistical Modeling -- 3.1 Measuring Economic Vulnerability: a Structural Equation Modeling Approach -- 3.2 Bayesian Inference for a Mixture Model on the Simplex -- 3.3 Stochastic Models for the Size Distribution of Italian Firms: A Proposal -- 3.4 Modeling Return to Education in Heterogeneous Populations. An application to Italy -- 3.5 Changes in Couples’ Bread-winning Patterns and Wife’s Economic Role in Japan from 1985 to 2015 -- 3.6 Weighted Optimization with Thresholding for Complete-Case Analysis -- Part IV Graphical Models -- 4.1 Measurement Error Correction by NonParametric Bayesian Networks: Application and Evaluation -- 4.2 Copula Grow-Shrink Algorithm for Structural Learning -- 4.3 Context-Specific Independencies Embedded in Chain Graph Models of Type I -- Part V Big Data Analysis -- 5.1 Big Data and Network Analysis: A combined Approach to Model Online News -- 5.2 Experimental Design Issues in Big Data. The Question of Bias.