Building bridges between soft and statistical methodologies for data science /: Luis A. García-Escudero, Alfonso Gordaliza, Agustín Mayo, María Asunción Lubiano Gomez, Maria Angeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz, editors.

García-Escudero, Luis A.,; Gordaliza, Alfonso,; Mayo, Agustín,; Lubiano Gomez, María Asunción,; Gil, María Á.; Grzegorzewski, Przemysław,; Hryniewicz, Olgierd,

doi:10.1007/978-3-031-15509-3

Building bridges between soft and statistical methodologies for data science / Luis A. García-Escudero, Alfonso Gordaliza, Agustín Mayo, María Asunción Lubiano Gomez, Maria Angeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz, editors.

International Conference on Soft Methods in Probability and Statistics (10th : 2022 : Valladolid, Spain); García-Escudero, Luis A., editor.; Gordaliza, Alfonso, editor.; Mayo, Agustín, editor.; Lubiano Gomez, María Asunción, editor.; Gil, María Á. (Maria-Ángeles), editor.; Grzegorzewski, Przemysław, editor.; Hryniewicz, Olgierd, editor.

2023

QA76.9.B45

Available Online

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Title

Building bridges between soft and statistical methodologies for data science / Luis A. García-Escudero, Alfonso Gordaliza, Agustín Mayo, María Asunción Lubiano Gomez, Maria Angeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz, editors.

Meeting Name

International Conference on Soft Methods in Probability and Statistics (10th : 2022 : Valladolid, Spain)

ISBN

9783031155093 (electronic bk.)
3031155092 (electronic bk.)
9783031155086 (print)
3031155084

DOI

https://doi.org/10.1007/978-3-031-15509-3

Published

Cham, Switzerland : Springer, [2023]

Language

English

Description

1 online resource (xiii, 408 pages) : illustrations (some color).

Item Number

10.1007/978-3-031-15509-3 doi

Call Number

QA76.9.B45

Dewey Decimal Classification

005.7

Summary

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.

Note

Includes author index.

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Access limited to authorized users.

Source of Description

Online resource; title from PDF title page (SpringerLink, viewed August 31, 2022).

Added Author

García-Escudero, Luis A., editor.
Gordaliza, Alfonso, editor.
Mayo, Agustín, editor.
Lubiano Gomez, María Asunción, editor.
Gil, María Á. (Maria-Ángeles), editor.
Grzegorzewski, Przemysław, editor.
Hryniewicz, Olgierd, editor.

Series

Advances in intelligent systems and computing ; 1433.

Available in Other Form

Print version: 9783031155086