Statistical Models and Learning Methods for Complex Data | ISBN 9783031847028

Statistical Models and Learning Methods for Complex Data

herausgegeben von Giuseppe Giordano, Michele La Rocca, Marcella Niglio, Marialuisa Restaino und Maurizio Vichi
Mitwirkende
Herausgegeben vonGiuseppe Giordano
Herausgegeben vonMichele La Rocca
Herausgegeben vonMarcella Niglio
Herausgegeben vonMarialuisa Restaino
Herausgegeben vonMaurizio Vichi
Buchcover Statistical Models and Learning Methods for Complex Data  | EAN 9783031847028 | ISBN 3-031-84702-4 | ISBN 978-3-031-84702-8

Statistical Models and Learning Methods for Complex Data

herausgegeben von Giuseppe Giordano, Michele La Rocca, Marcella Niglio, Marialuisa Restaino und Maurizio Vichi
Mitwirkende
Herausgegeben vonGiuseppe Giordano
Herausgegeben vonMichele La Rocca
Herausgegeben vonMarcella Niglio
Herausgegeben vonMarialuisa Restaino
Herausgegeben vonMaurizio Vichi

This book on statistical models and learning methods for complex data comprises a selection of peer-reviewed post-conference papers presented at the 14th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society (CLADAG 2023), held in Salerno, Italy, September 11–13, 2023. The contributions span a variety of topics, including different approaches to clustering and classification, multidimensional data analysis, panel data, social networks, time series, statistical inference, and mixture models. These methodologies are applied to a range of empirical domains such as economics, finance, hydrology, the social sciences, education, and sports.

Organized biennially by international scientific committees, the CLADAG meetings advance methodological research in multivariate statistics, with a strong focus on data analysis and classification. They facilitate the exchange of ideas in these fields and promote the dissemination of concepts, numerical methods, algorithms, and computational and applied results.

Chapter „Identification of misogynistic accounts on Twitter through Graph Convolutional Networks“ is available open access under a Creative Commons Attribution 4.0 International License via link. springer. com.