Combining, Modelling and Analyzing Imprecision, Randomness and Dependence : Advances in Intelligent Systems and Computing - Jonathan Ansari

Instant online reading.
Don't wait for delivery!
Go digital and save!

Combining, Modelling and Analyzing Imprecision, Randomness and Dependence

By: Jonathan Ansari (Editor), Wolfgang Trutschnig (Editor), Sebastian Fuchs (Editor), Przemyslaw Grzegorzewski (Editor), Olgierd Hryniewicz (Editor)

Write A Review

Paperback | 13 September 2024

At a Glance

Paperback
580 Pages

Dimensions(cm)
23.5 x 15.5 x 2.97

Paperback

$359.00

or 4 interest-free payments of $89.75 with

Ships in 5 to 7 business days

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.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.