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Statistical Models and Methods for Data Science : Springer Nature Proceedings excluding Computer Science - Leonardo Grilli

Statistical Models and Methods for Data Science

By: Leonardo Grilli (Editor), Monia Lupparelli (Editor), Carla Rampichini (Editor), Emilia Rocco (Editor), Maurizio Vichi (Editor)

eText | 24 July 2023

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This book focuses on methods and models in classification and data analysis and presents real-world applications at the interface with data science. Numerous topics are covered, ranging from statistical inference and modelling to clustering and factorial methods, and from directional data analysis to time series analysis and small area estimation. The applications deal with new developments in a variety of fields, including medicine, finance, engineering, marketing, and cyber risk.

The contents comprise 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, held (online) in Florence, Italy, on September 9-11, 2021. 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 at the interface between classification and data science.

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Non-FictionComputing & I.T.Business ApplicationsMathematical & Statistical SoftwareMathematicsProbability & StatisticsComputer ScienceArtificial IntelligenceComputer Programming & Software DevelopmentAlgorithms & Data StructuresDatabases

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