New Statistical Developments in Data Science : SIS 2017, Florence, Italy, June 28-30. 1st ed. 2019

種類:

電子ブック

責任表示:

edited by Alessandra Petrucci, Filomena Racioppi, Rosanna Verde

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2019

著者名:

• Petrucci, Alessandra.
• Racioppi, Filomena.
• Verde, Rosanna.
• SpringerLink (Online service)

シリーズ名:

Springer Proceedings in Mathematics & Statistics ; 288

ISBN:

9783030211585 [3030211584]    

注記:

PART I – Complex data analytics: A. Balzanella et al., Monitoring the spatial correlation among functional data streams through Moran's Index -- O. Banouar and S. Raghay, User query enrichment for personalized access to data through ontologies using matrix completion method -- C. Drago, Clustering Communities using Interval K-Means -- F. Murtagh, Text Mining and Big Textual Data: Relevant Statistical Models -- G. Ragozini et al., A three-way data analysis approach for analyzing multiplex networks -- M. Ruggieri et al., Comparing FPCA based on conditional quantile functions and FPCA based on conditional mean function -- F. Santelli et al., Statistical archetypal analysis for cognitive categorization -- A. Vanacore and M. S. Pellegrino, Inferring rater agreement with ordinal classification -- PART II – Knowledge based methods: J. Koskinen et al., Bayesian analysis of ERG models for multilevel, multiplex, and multilayered networks with sampled or missing data -- C. Scricciolo, Bayesian Kantorovich Deconvolution
This volume collects the extended versions of papers presented at the SIS Conference “Statistics and Data Science: new challenges, new generations”, held in Florence, Italy on June 28-30, 2017. Highlighting the central role of statistics and data analysis methods in the era of Data Science, the contributions offer an essential overview of the latest developments in various areas of statistics research. The 35 contributions have been divided into six parts, each of which focuses on a core area contributing to “Data Science”. The book covers topics including strong statistical methodologies, Bayesian approaches, applications in population and social studies, studies in economics and finance, techniques of sample design and mathematical statistics. Though the book is mainly intended for researchers interested in the latest frontiers of Statistics and Data Analysis, it also offers valuable supplementary material for students of the disciplines dealt with here. Lastly, it will help Statisticians and Data Scientist

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