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  • Conference proceedings
  • © 2019

New Statistical Developments in Data Science

SIS 2017, Florence, Italy, June 28-30

  • Highlights key statistical methods and recent contributions to data science
  • Shows how Statistics and Data Analysis techniques can support business operations and provide essential information for decision-making
  • Promotes the development of a statistical culture among students and researchers in the Information Age

Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 288)

Conference series link(s): SIS: Scientific Meeting of the Italian Statistical Society

Conference proceedings info: SIS 2017.

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Table of contents (35 papers)

  1. Front Matter

    Pages i-xiv
  2. Complex Data Analytics

    1. Front Matter

      Pages 1-1
    2. Monitoring the Spatial Correlation Among Functional Data Streams Through Moran’s Index

      • A. Balzanella, E. Romano, Rosanna Verde, F. Fortuna, F. Maturo, S. A. Gattone et al.
      Pages 3-12
    3. A Three-Way Data Analysis Approach for Analyzing Multiplex Networks

      • Giancarlo Ragozini, Maria Prosperina Vitale, Giuseppe Giordano
      Pages 53-63
    4. Statistical Archetypal Analysis for Cognitive Categorization

      • Francesco Santelli, Francesco Palumbo, Giancarlo Ragozini
      Pages 77-89
    5. Inferring Rater Agreement with Ordinal Classification

      • Amalia Vanacore, Maria Sole Pellegrino
      Pages 91-101
  3. Knowledge Based Methods

    1. Front Matter

      Pages 103-103
    2. Bayesian Analysis of ERG Models for Multilevel, Multiplex, and Multilayered Networks with Sampled or Missing Data

      • Johan Koskinen, Chiara Broccatelli, Peng Wang, Garry Robins
      Pages 105-117
    3. Discovering and Locating High-Energy Extra-galactic Sources by Bayesian Mixture Modelling

      • Andrea Sottosanti, Denise Costantin, Denis Bastieri, Alessandra R. Brazzale
      Pages 135-148
    4. Bayesian Estimation of Causal Effects in Carcinogenicity Tests Based upon CTA

      • Federico M. Stefanini, Giulia Callegaro
      Pages 149-164
    5. Performance Comparison of Heterogeneity Measures for Count Data Models in Bayesian Perspective

      • M. Subbiah, R. Renuka Devi, M. Gallo, M. R. Srinivasan
      Pages 165-176
  4. Sampling Techniques for Big Data Exploration

    1. Front Matter

      Pages 177-177
    2. Sampling and Modelling Issues Using Big Data in Now-Casting

      • M. Simona Andreano, Roberto Benedetti, Federica Piersimoni, Paolo Postiglione, Giovanni Savio
      Pages 179-189
    3. Sampling Schemes Using Scanner Data for the Consumer Price Index

      • Claudia De Vitiis, Alessio Guandalini, Francesca Inglese, Marco Dionisio Terribili
      Pages 203-217

Other Volumes

  1. New Statistical Developments in Data Science

About this book

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 withhere. Lastly, it will help Statisticians and Data Scientists recognize their counterparts’ fundamental role.

Editors and Affiliations

  • Dipartimento di Statistica, Informatica, Applicazioni ‘G. Parenti’ (DiSIA), Università degli Studi di Firenze, Florence, Italy

    Alessandra Petrucci

  • Dipartimento Scienze Statistiche, Sapienza Università di Roma, Rome, Italy

    Filomena Racioppi

  • Dipartimento di Matematica e Fisica, Università della Campania ‘Luigi Vanvitelli’, Caserta, Italy

    Rosanna Verde

About the editors

Alessandra Petrucci is Professor of Social Statistics at the University of Florence, where she is Head of the Department of Statistics, Computer Science, and Applications and a member of the Academic Senate.  Dr. Petrucci holds a PhD in Applied Statistics. Her research interests include methods for survey sampling, spatial statistics, environmental statistics, multivariate analysis, and teaching evaluation. She has published a considerable number of papers in national and international journals  and has been a member of many research projects and scientific committees for several national and international conferences. Dr. Petrucci is an elected member of International Statistical Institute (ISI) and a fellow of the Italian Statistical Society (SIS). She is a member of the Centro Camilo Dagum, Tuscan Interuniversity Centre – Advanced Statistics for Equitable and Sustainable Development.

Filomena Racioppi is Associate Professor of Demography in the Department of Statistics at Sapienza University of Rome, where she is on the Board of the PhD program in Statistical Sciences. She is a member of the Italian Association for Population Studies, the Italian Statistical Society (SIS), the European Association for Population Studies (EAPS), and the International Union for Scientific Studies of Population (IUSSP). She has been a member and/or coordinator of several national and international research projects. She was executive editor of Genus from 1999 to 2009 and a member of the scientific advisory board for Population Research and Policy Review. Currently she is on the scientific board of Genus and serves as a reviewer for several demographic international journals. Dr. Racioppi’s research areas have included, among others, reproductive behaviors, applied and business demography, active ageing and age management, and gender issues during the life course.

Rosanna Verde is Professor of Statistics in the Department of Mathematicsand Physics at the University of Campania Luigi Vanvitelli, where she is coordinator of the Bachelor’s degree in Data Analytics. She is also on the Board of the PhD program in Social and Statistical Sciences at the University of Naples. Dr. Verde is a member of several international statistical associations and she is on the scientific board of SIS Group on Statistics and Data Science. She is associate editor of Statistical Methods & Application journal. She was an expert evaluator for the European Programme IST. She has coordinated various national and regional projects, and she has also participated in European projects. She was guest researcher and visiting professor at several foreign universities and research centres. Her main fields of research are: classification, symbolic data analysis, data stream analysis, and functional data analysis.  She is a co-author of more than 100 papers in journals and in proceedings of international conferences.

Bibliographic Information

Buy it now

Buying options

eBook USD 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access