Overview
- Latest research on Data Analysis and Soft Computing
- Covers results of the 10th International Conference on Soft Methods in Probability and Statistics (SMPS 2022)
- Presents current research on the fusion of soft computing methods with probability and statistics
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1433)
Included in the following conference series:
Conference proceedings info: SMPS 2022.
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Table of contents(52 papers)
Other volumes
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Building Bridges between Soft and Statistical Methodologies for Data Science
About this book
Nowadays, data analysis is becoming an appealing topic due to the emergence of new data types, dimensions, and sources. This motivates the development of probabilistic/statistical approaches and tools to cope with these data. Different communities of experts, namely statisticians, mathematicians, computer scientists, engineers, econometricians, and psychologists are more and more interested in facing this challenge. As a consequence, there is a clear need to build bridges between all these communities for Data Science.
This book contains more than fifty selected recent contributions aiming to establish the above referred bridges. These contributions address very different and relevant aspects such as imprecise probabilities, information theory, random sets and random fuzzy sets, belief functions, possibility theory, dependence modelling and copulas, clustering, depth concepts, dimensionality reduction of complex data and robustness.
Editors and Affiliations
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Departamento de Estadística e I.O., University of Valladolid, Valladolid, Spain
Luis A. García-Escudero, Agustín Mayo
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Departamento de Estadística e I.O., University of Valladolid, Valladolid, Spain
Alfonso Gordaliza
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Departamento de Estadística, I.O. y D.M., University of Oviedo, Oviedo, Spain
María Asunción Lubiano Gomez, Maria Angeles Gil
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Department of Computational Statistics and Data Analysis, Warsaw University of Technology, Warsaw, Poland
Przemyslaw Grzegorzewski
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Department of Stochastic Methods, Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Olgierd Hryniewicz
Bibliographic Information
Book Title: Building Bridges between Soft and Statistical Methodologies for Data Science
Editors: Luis A. García-Escudero, Alfonso Gordaliza, Agustín Mayo, María Asunción Lubiano Gomez, Maria Angeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-031-15509-3
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-15508-6Published: 26 August 2022
eBook ISBN: 978-3-031-15509-3Published: 24 August 2022
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XIII, 408
Number of Illustrations: 28 b/w illustrations, 55 illustrations in colour
Topics: Data Engineering, Computational Intelligence, Artificial Intelligence