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The contributions gathered in this book focus on modern methods for
statistical learning and modeling in data analysis and present a
series of engaging real-world applications. The book covers
numerous research topics, ranging from statistical inference and
modeling to clustering and factorial methods, from directional data
analysis to time series analysis and small area estimation. The
applications reflect new analyses in a variety of fields, including
medicine, finance, engineering, marketing and cyber risk. The book
gathers selected and peer-reviewed contributions presented at the
12th Scientific Meeting of the Classification and Data Analysis
Group of the Italian Statistical Society (CLADAG 2019), held in
Cassino, Italy, on September 11-13, 2019. CLADAG promotes advanced
methodological research in multivariate statistics with a special
focus on data analysis and classification, and supports the
exchange and dissemination of ideas, methodological concepts,
numerical methods, algorithms, and computational and applied
results. This book, true to CLADAG's goals, is intended for
researchers and practitioners who are interested in the latest
developments and applications in the field of data analysis and
classification.
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