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Combining, modelling and analyzing imprecision, randomness and dependence
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Combining, modelling and analyzing imprecision, randomness and dependence/ edited by Jonathan Ansari ...[et al.].
other author:
Ansari, Jonathan.
Published:
Cham :Springer Nature Switzerland : : 2024.,
Description:
xiv, 565 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:
Springer Nature eBook
Subject:
Mathematical statistics -
Online resource:
https://doi.org/10.1007/978-3-031-65993-5
ISBN:
9783031659935
Combining, modelling and analyzing imprecision, randomness and dependence
Combining, modelling and analyzing imprecision, randomness and dependence
[electronic resource] /edited by Jonathan Ansari ...[et al.]. - Cham :Springer Nature Switzerland :2024. - xiv, 565 p. :ill. (some col.), digital ;24 cm. - Advances in intelligent systems and computing,14582194-5365 ;. - Advances in intelligent systems and computing ;173..
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.
ISBN: 9783031659935
Standard No.: 10.1007/978-3-031-65993-5doiSubjects--Topical Terms:
682993
Mathematical statistics
LC Class. No.: QA276.A1
Dewey Class. No.: 519.5
Combining, modelling and analyzing imprecision, randomness and dependence
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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.
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Intelligent Technologies and Robotics (SpringerNature-42732)
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