Building Bridges between Soft and Statistical Methodologies for Data Science (1st ed. 2023) (Advances in Intelligent Systems and Computing #1433)

Synopsis

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.

Copyright:

2023

Book Details

Book Quality:

Publisher Quality

ISBN-13:

9783031155093

Related ISBNs:

9783031155086

Publisher:

Springer International Publishing

Date of Addition:

09/25/22

Copyrighted By:

The Editor

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Computers and Internet, Technology

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.

Edited by:

Luis A. García-Escudero

Edited by:

Alfonso Gordaliza

Edited by:

Agustín Mayo

Edited by:

María Asunción Lubiano Gomez

Edited by:

Maria Angeles Gil

Edited by:

Przemyslaw Grzegorzewski

Edited by:

Olgierd Hryniewicz