Key-note.- Clustering of High-Dimensional and Correlated Data.- Statistical Methods for Cryptography.- Cluster Analysis.- An Algorithm for Earthquakes Clustering Based on Maximum Likelihood.- A Two-Step Iterative Procedure for Clustering of Binary Sequences.- Clustering Linear Models Using Wasserstein Distance.- Comparing Approaches for Clustering Mixed Mode Data: An Application in Marketing Research.- The Progressive Single Linkage Algorithm Based on Minkowski Ultrametrics.- Visualization of Model-Based Clustering Structures.- Multivariate Analysis and Application.- Models for Asymmetry in Proximity Data.- Intimate Femicide in Italy: A Model to Classify How Killings Happened.- Two-Dimensional Centrality of Asymmetric Social Network.- The Forward Search for Classical Multidimensional Scaling When the Starting Data Matrix Is Known.- Multivariate Analysis and Application.- Discriminant Analysis on Mixed Predictors.- A Statistical Calibration Model for Affymetrix Probe Level Data.- A Proposal to Fuzzify Categorical Variables in Operational Risk Management.- Common Optimal Scaling for Customer Satisfaction Models: A Point to Cobb–Douglas’ Form.- Structural Neural Networks for Modeling Customer Satisfaction.- Dimensionality of Scores Obtained with a Paired-Comparison Tournament System of Questionnaire Items.- Using Rasch Measurement to Assess the Role of the Traditional Family in Italy.- Preserving the Clustering Structure by a Projection Pursuit Approach.- Association Rule Mining of Multimedia Content.- Classification and Classification Tree.- Automatic Dictionary- and Rule-Based Systems for Extracting Information from Text.- Several Computational Studies About Variable Selection for Probabilistic Bayesian Classifiers.- Semantic Classification and Co-occurrences: AMethod for the Rules Production for the Information Extraction from Textual Data.- The Effectiveness of University Education: A Structural Equation Model.- Simultaneous Threshold Interaction Detection in Binary Classification.- Detecting Subset of Classifiers for Multi-attribute Response Prediction.- Clustering Textual Data by Latent Dirichlet Allocation: Applications and Extensions to Hierarchical Data.- Multilevel Latent Class Models for Evaluation of Long-term Care Facilities.- Author–Coauthor Social Networks and Emerging Scientific Subfields.- Statistical Models.- A Hierarchical Model for Time Dependent Multivariate Longitudinal Data.- Covariate Error Bias Effects in Dynamic Regression Model Estimation and Improvement in the Prediction by Covariate Local Clusters.- Local Multilevel Modeling for Comparisons of Institutional Performance.- Modelling Network Data: An Introduction to Exponential Random Graph Models.- Latent Variables.- An Analysis of Earthquakes Clustering Based on a Second-Order Diagnostic Approach.- Latent Regression in Rasch Framework.- A Multilevel Latent Variable Model for Multidimensional Longitudinal Data.- Turning Point Detection Using Markov Switching Models with Latent Information.- Knowledge Extraction from Temporal Data.- Statistical and Numerical Algorithms for Time Series Classification.- Mining Time Series Data: A Selective Survey.- Predictive Dynamic Models for SMEs.- Clustering Algorithms for Large Temporal Data Sets.- Outlier Detection and Robust Methods.- Robust Clustering for Performance Evaluation.- Outliers Detection Strategy for a Curve Clustering Algorithm.- Robust Fuzzy Classification.- Weighted Likelihood Inference for a Mixed Regressive Spatial Autoregressive Model.- Detecting Price Outliers in European Trade Data with the Forward Search.- Statistical Methods for Financial and Economics Data.- Comparing Continuous Treatment Matching Methods in Policy Evaluation.- Temporal Aggregation and Closure of VARMA Models: Some New Results.- An Index for Ranking Financial Portfolios According to Internal Turnover.- Bayesian Hidden Markov Models for Financial Data.- Missing Values.- Regression Imputation for Space-Time Datasets with Missing Values.- A Multiple Imputation Approach in a Survey on University Teaching Evaluation.