Statistical Learning and Modeling in Data Analysis
Methods and Applications
Maurizio Vichi editor Simona Balzano editor Giovanni C Porzio editor Renato Salvatore editor Domenico Vistocco editor
Format:Paperback
Publisher:Springer Nature Switzerland AG
Published:14th Jul '21
Currently unavailable, and unfortunately no date known when it will be back
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.ISBN: 9783030699437
Dimensions: unknown
Weight: 302g
182 pages
1st ed. 2021