Name
Abstract | ||
|---|---|---|
This paper defines a generalization of the recursive Bayesian estimate (RBE), within the mathematical possibility theory. This generalization is motivated by the fact that the classical RBE, by design, deals only with random variables and can only provide closed-form solution for a few cases. The possibilistic generalization is based on the random-fuzzy variables, thus allowing one to take into ac... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TIM.2017.2749738 | IEEE Transactions on Instrumentation and Measurement |
Keywords | Field | DocType |
Uncertainty,Bayes methods,Probability density function,Possibility theory,Probabilistic logic | Random variable,Mathematical optimization,Possibility theory,State variable,Probabilistic logic,Bayes estimator,Probability density function,Recursion,Mathematics | Journal |
Volume | Issue | ISSN |
66 | 12 | 0018-9456 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Jiang | 1 | 12 | 2.23 |
| A. Ferrero | 2 | 376 | 88.12 |
| Simona Salicone | 3 | 263 | 33.62 |
| Qi Zhang | 4 | 931 | 179.66 |