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Combining, Modelling and Analyzing Imprecision, Randomness and Dependence

Name: Combining, Modelling and Analyzing Imprecision, Randomness and Dependence
Brand: Springer, Berlin
SKU: 46145372
Price: 89459 HUF
Availability: InStock
Author: Jonathan Ansari
ISBN: 9783031659928

Jonathan Ansari

Sebastian Fuchs

Wolfgang Trutschnig

María Asunción Lubiano

María Ángeles Gil

Przemyslaw Grzegorzewski

Olgierd Hryniewicz

Language

English

Book Paperback

Libristo code: 46145372

Publishers Springer, Berlin, August 2024

This volume contains more than 65 peer-reviewed papers corresponding to presentations at the 11th Co... Full description

Libristo code: 46145372

595 b

89 459 Ft

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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.