Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Austrian Post 5.49 € DPD courier 3.99 € DPD point 2.99 €

Contact

How to shop

Help

My account

▸ Empty :-(

Combining, Modelling and Analyzing Imprecision, Randomness and Dependence

Name: Combining, Modelling and Analyzing Imprecision, Randomness and Dependence
Brand: Springer, Berlin
SKU: 46145372
Price: 235.79 EUR
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

577 b

235.79 € VAT included

In stock at our supplier Shipping in 5-8 days

Delivery to Austria

30-day return policy

Customers also purchased

Republique d'Haiti Et Le Gouvernement Democrate de M. Woodrow Wilson Kernisan-C-E

Paperback

15.09 €

Celebramos: La celebración del misterio cristiano Navarro González

Paperback

19.29 €

Manieren - wozu eigentlich Roselie Herrmann

Paperback

8.99 €

Die Päpste und ihr Amt zwischen Einheit und Vielheit der Kirche Volker Leppin

Hardback

46.89 €

Komm her, ich fresse dich auf! Marie-Hél?ne Lafond

Hardback

16.49 €

Els llibres de la senyora Jella KATHY STINSON

Hardback

17.69 €

Les patrimoines de l'eau Guillaume Picon

Hardback

48.69 €

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.