Combining, Modelling and Analyzing Imprecision, Randomness and Dependence

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Synopsis

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.

Book details

Edition:: 2024
Series:: Advances in Intelligent Systems and Computing (Book 1458)
Author:: Jonathan Ansari, Sebastian Fuchs, Wolfgang Trutschnig, María Asunción Lubiano, María Ángeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz
ISBN:: 9783031659935
Related ISBNs:: 9783031659928
Publisher:: Springer Nature Switzerland
Pages:: N/A
Reading age:: Not specified
Includes images:: Yes
Date of addition:: 2024-08-16
Usage restrictions:: Copyright
Copyright by:: The Editor
Adult content:: No
Language:: English
Categories:: Computers and Internet, Nonfiction, Technology