Statistical models and methods for data science [Documento eletrónico] ; edited by Leonardo Grilli ... [et al.]
Language: eng - inglesa.Country: Switzerland, Swiss Confederation.Publication: Cham : Springer, 2023Description: VIII, 188 p. : il.ISBN: 978-3-031-30164-3.Series: Studies in classification data analysis and knowledge organizationSubject - Topical Name: Mathematical statistics -- Data processing | Quantitative research | Machine learning | Statistics | Artificial intelligence -- Data processing Online Resources:Click here to access online| Item type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
| E-Books | Biblioteca da FCTUNL Online | Não Ficção | QA276.4.SPR FCT (Browse shelf) | 1 | Available | 97421 |
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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