| 书目名称 | Statistical Models and Methods for Data Science | | 编辑 | Leonardo Grilli,Monia Lupparelli,Maurizio Vichi | | 视频video | | | 概述 | Focuses on modern statistical methods and models for data science.Presents real-world applications in medicine, finance, engineering, marketing, and cyber risk.Fosters new directions of research in cl | | 丛书名称 | Studies in Classification, Data Analysis, and Knowledge Organization | | 图书封面 |  | | 描述 | .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.. | | 出版日期 | Conference proceedings 2023 | | 关键词 | Classification; Data Analysis; Data Science; Statistical Learning; Machine Learning; Statistical Models; M | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-30164-3 | | isbn_softcover | 978-3-031-30163-6 | | isbn_ebook | 978-3-031-30164-3Series ISSN 1431-8814 Series E-ISSN 2198-3321 | | issn_series | 1431-8814 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
The information of publication is updating
|
|
发表于 2025-3-21 19:30:35
