Combining, Modelling and Analyzing Imprecision, Randomness and Dependence: 1458 (Advances in Intelligent Systems and Computing) - Softcover

 
9783031659928: Combining, Modelling and Analyzing Imprecision, Randomness and Dependence: 1458 (Advances in Intelligent Systems and Computing)
Softcover
ISBN 10: 3031659929 ISBN 13: 9783031659928
Verlag: Springer, 2024

Inhaltsangabe

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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Von der hinteren Coverseite

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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Verlag
Springer
Erscheinungsdatum
2024
Sprache
Englisch
ISBN 10 
3031659929
ISBN 13 
9783031659928
Einband
Tapa blanda
Anzahl der Seiten
580
Herausgeber
Ansari Jonathan, Fuchs Sebastian, Trutschnig Wolfgang
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
CMN Printpool Inh. Mathis Neumann
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