Ansari, Jonathan. editor. edt http://id.loc.gov/vocabulary/relators/edt Fuchs, Sebastian. editor. edt http://id.loc.gov/vocabulary/relators/edt Trutschnig, Wolfgang. editor. edt http://id.loc.gov/vocabulary/relators/edt Lubiano, María Asunción. editor. edt http://id.loc.gov/vocabulary/relators/edt Gil, María Ángeles. editor. edt http://id.loc.gov/vocabulary/relators/edt Grzegorzewski, Przemyslaw. editor. edt http://id.loc.gov/vocabulary/relators/edt Hryniewicz, Olgierd. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XIV, 565 p. 85 illus., 60 illus. in color. online resource. 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. . edited by Jonathan Ansari, Sebastian Fuchs, Wolfgang Trutschnig, María Asunción Lubiano, María Ángeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz. Engineering Data processing Computational intelligence Artificial intelligence Data Engineering Computational Intelligence Artificial Intelligence TA345-345.5 9783031659935 https://doi.org/10.1007/978-3-031-65993-5 https://doi.org/10.1007/978-3-031-65993-5 240809 20251030112939.0 978-3-031-65993-5