UID:
almahu_9949420167802882
Format:
XIII, 408 p. 83 illus., 55 illus. in color.
,
online resource.
Edition:
1st ed. 2023.
ISBN:
9783031155093
Series Statement:
Advances in Intelligent Systems and Computing, 1433
Content:
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.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783031155086
Additional Edition:
Printed edition: ISBN 9783031155109
Language:
English
DOI:
10.1007/978-3-031-15509-3
URL:
https://doi.org/10.1007/978-3-031-15509-3
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