Statistical Models and Methods for Data Science

The book "Statistical Models and Methods for Data Science" offers a comprehensive examination of methods and models in classification and data analysis. It covers a wide range of topics, from statistical inference and modeling to clustering and factorial methods. Additionally, it addresses specialized analyses such as directional data analysis, time series analyses, and estimates for small areas. The real-world applications presented in this work highlight new developments in various fields such as medicine, finance, engineering, marketing, and cyber risk. The content is based on selected and peer-reviewed contributions presented at the 13th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society, CLADAG 2021. This book is a valuable resource for professionals and students engaged in advanced methodological research in multivariate statistics and its application in data science.