Building Bridges between Soft and Statistical Methodologies for Data Science / edited by Luis A. García-Escudero, Alfonso Gordaliza, Agustín Mayo, María Asunción Lubiano Gomez, Maria Angeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz.

Format
Book
Language
English
Εdition
1st ed. 2023.
Published/​Created
Cham : Springer International Publishing : Imprint: Springer, 2023.
Description
1 online resource (421 pages)

Details

Subject(s)
Editor
Series
Summary note
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.
Bibliographic references
Includes bibliographical references and index.
ISBN
3-031-15509-2
Doi
  • 10.1007/978-3-031-15509-3
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