Monte Carlo and quasi-Monte Carlo methods for Dempster's rule of combination

DOI10.1016/j.ijar.2022.03.008OpenAlexW4220841120MaRDI QIDQ2671754

Nima Salehy, Giray Ökten

Publication date: 3 June 2022

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2022.03.008

zbMATH Keywords

Monte CarloDempster-Shafer theoryimportance samplingdata fusionquasi-Monte Carlotheory of evidence

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Uses Software

• TOMS659
• sobol.cc

Cites Work

• Prediction of future observations using belief functions: a likelihood-based approach
• 40 years of Dempster-Shafer theory
• Randomized quasi-Monte Carlo methods in pricing securities
• Finding optimal volume subintervals with \( k\) points and calculating the star discrepancy are NP-hard problems
• On the Dempster-Shafer framework and new combination rules
• Rejoinders to comments on Perspectives on the theory and practice of belief functions
• Forecasting using belief functions: an application to marketing econometrics
• Dempster's rule of combination is {\#}P-complete
• Remark on algorithm 659
• Upper and Lower Probabilities Induced by a Multivalued Mapping
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Monte Carlo and quasi-Monte Carlo methods for Dempster's rule of combination