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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: 9783031659928
Price: 5023 CZK
Availability: InStock

Autor: Jonathan Ansari, Sebastian Fuchs, Wolfgang Trutschnig, María Asunción Lubiano, María Ángeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer, Berlin

Dostupnost: Skladem u dodavatele

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

Informace o knize

Autor

Jonathan Ansari, Sebastian Fuchs, Wolfgang Trutschnig, María Asunción Lubiano, María Ángeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2024

Stránek

600

EAN

9783031659928

Enbook ID

46145372

Vydavatel

Springer, Berlin

Hmotnost

867

Rozměry

155 x 235

Kompletní popis

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.

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