This book contains a selection of the contributions presented at the conference of the Italian Statistical Society - SIS 2023 held in Ancona, 21-23 June 2023 with specific focus on “Statistical Learning, Sustainability and Impact Evaluation”.Papers concern new challenges of digitalization, innovation and sustainability that are showing the crucial role of data-driven approaches in supporting decision-making processes. Methodologies resulting from the integration of different know-how provide reliable way to deal with the increasing need to measure the impact of the policies and to forecast scenarios. A non-exhaustive list of the topics include papers on: Data Analysis and Classification, Education and students’ assessment, Environmental and Sustainability assessment, Population and health dynamics, Machine and Statistical Learning, Spatial and Spatio-Temporal Modeling, Social and Statistical indicators.This volume is addressed to researchers as well as  to Ph.D. and MSc students interested in new trends and recent developments in the areas of Statistical Learning, Sustainability and Impact Evaluation.

This book contains a selection of the contributions presented at the conference of the Italian Statistical Society - SIS 2023 held in Ancona, 21-23 June 2023 with specific focus on "e;Statistical Learning, Sustainability and Impact Evaluation"e;.Papers concern new challenges of digitalization, innovation and sustainability that are showing the crucial role of data-driven approaches in supporting decision-making processes. Methodologies resulting from the integration of different know-how provide reliable way to deal with the increasing need to measure the impact of the policies and to forecast scenarios. A non-exhaustive list of the topics include papers on: Data Analysis and Classification, Education and students' assessment, Environmental and Sustainability assessment, Population and health dynamics, Machine and Statistical Learning, Spatial and Spatio-Temporal Modeling, Social and Statistical indicators.This volume is addressed to researchers as well as  to Ph.D. and MSc students interested in new trends and recent developments in the areas of Statistical Learning, Sustainability and Impact Evaluation.

The papers in this book cover issues related to the development of novel statistical models for the analysis of data. They offer solutions for relevant problems in statistical data analysis and contain the explicit derivation of the proposed models as well as their implementation. The book assembles the selected and refereed proceedings of the biannual conference of the Italian Classification and Data Analysis Group (CLADAG), a section of the Italian Statistical Society. ​

The papers in this book cover issues related to the development of novel statistical models for the analysis of data. They offer solutions for relevant problems in statistical data analysis and contain the explicit derivation of the proposed models as well as their implementation. The book assembles the selected and refereed proceedings of the biannual conference of the Italian Classification and Data Analysis Group (CLADAG), a section of the Italian Statistical Society. ​

This volume provides recent research results in data analysis, classification and multivariate statistics and highlights perspectives for new scientific developments within these areas. Particular attention is devoted to methodological issues in clustering, statistical modeling and data mining. The volume also contains significant contributions to a wide range of applications such as finance, marketing, and social sciences. The papers in this volume were first presented at the 7th Conference of the Classification and Data Analysis Group (ClaDAG) of the Italian Statistical Society, held at the University of Catania, Italy.

This book contains a selection of the contributions presented at the conference of the Italian Statistical Society - SIS 2023 held in Ancona, 21-23 June 2023 with specific focus on “Statistical Learning, Sustainability and Impact Evaluation”.Papers concern new challenges of digitalization, innovation and sustainability that are showing the crucial role of data-driven approaches in supporting decision-making processes. Methodologies resulting from the integration of different know-how provide reliable way to deal with the increasing need to measure the impact of the policies and to forecast scenarios. A non-exhaustive list of the topics include papers on: Data Analysis and Classification, Education and students’ assessment, Environmental and Sustainability assessment, Population and health dynamics, Machine and Statistical Learning, Spatial and Spatio-Temporal Modeling, Social and Statistical indicators.This volume is addressed to researchers as well as  to Ph.D. and MSc students interested in new trends and recent developments in the areas of Statistical Learning, Sustainability and Impact Evaluation.

This book contains a selection of the contributions presented at the conference of the Italian Statistical Society - SIS 2023 held in Ancona, 21-23 June 2023 with specific focus on "e;Statistical Learning, Sustainability and Impact Evaluation"e;.Papers concern new challenges of digitalization, innovation and sustainability that are showing the crucial role of data-driven approaches in supporting decision-making processes. Methodologies resulting from the integration of different know-how provide reliable way to deal with the increasing need to measure the impact of the policies and to forecast scenarios. A non-exhaustive list of the topics include papers on: Data Analysis and Classification, Education and students' assessment, Environmental and Sustainability assessment, Population and health dynamics, Machine and Statistical Learning, Spatial and Spatio-Temporal Modeling, Social and Statistical indicators.This volume is addressed to researchers as well as  to Ph.D. and MSc students interested in new trends and recent developments in the areas of Statistical Learning, Sustainability and Impact Evaluation.

The papers in this book cover issues related to the development of novel statistical models for the analysis of data. They offer solutions for relevant problems in statistical data analysis and contain the explicit derivation of the proposed models as well as their implementation. The book assembles the selected and refereed proceedings of the biannual conference of the Italian Classification and Data Analysis Group (CLADAG), a section of the Italian Statistical Society. ​

The papers in this book cover issues related to the development of novel statistical models for the analysis of data. They offer solutions for relevant problems in statistical data analysis and contain the explicit derivation of the proposed models as well as their implementation. The book assembles the selected and refereed proceedings of the biannual conference of the Italian Classification and Data Analysis Group (CLADAG), a section of the Italian Statistical Society. ​

This volume provides recent research results in data analysis, classification and multivariate statistics and highlights perspectives for new scientific developments within these areas. Particular attention is devoted to methodological issues in clustering, statistical modeling and data mining. The volume also contains significant contributions to a wide range of applications such as finance, marketing, and social sciences. The papers in this volume were first presented at the 7th Conference of the Classification and Data Analysis Group (ClaDAG) of the Italian Statistical Society, held at the University of Catania, Italy.