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Combining, Modelling and Analyzing Imprecision, Randomness and Dependence

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Éditeur :

Springer


Collection :

Advances in Intelligent Systems and Computing

Paru le : 2024-08-09

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Description

This volume contains more than 65 peer-reviewed papers corresponding to presentations at the 11th Conference on Soft Methods in Probability and Statistics (SMPS) held in Salzburg, Austria, in September 2024. It covers recent advances in the field of probability, statistics, and data science, with a particular focus on dealing with dependence, imprecision and incomplete information. Reflecting the fact that data science continues to evolve, this book serves as a bridge between different groups of experts, including statisticians, mathematicians, computer scientists, and engineers, and encourages interdisciplinary research. The selected contributions cover a wide range of topics such as imprecise probabilities, random sets, belief functions, possibility theory, and dependence modeling. Readers will find discussions on clustering, depth concepts, dimensionality reduction, and robustness, reflecting the conference's commitment to addressing real-world challenges through innovative methods.
 
Pages
565 pages
Collection
Advances in Intelligent Systems and Computing
Parution
2024-08-09
Marque
Springer
EAN papier
9783031659928
EAN PDF
9783031659935
Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
56
Taille du fichier
21780 Ko
Prix
210,99 €
EAN EPUB
9783031659935
Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
56
Taille du fichier
46008 Ko
Prix
210,99 €

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