A computational approach to first-passage-time problems for Gauss–Markov processes

By E. Nardo, A. G. Nobile, E. Pirozzi, L. Ricciardi. Advances in Applied Probability, 2001

131 citations recorded by the source corpus.

Subfields: Finance, Mathematical Physics, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/e1121e88859669973ad497eaa40c090433844630

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Changhua Hu
2. Wenbin Wang
3. Donghua Zhou
4. Xiaosheng Si
5. Xiaolin Wang
6. Dong Wang
7. Mohammad Hadigol
8. Z. Ye

Citations in the corpus

• Remaining useful life estimation - A review on the statistical data driven approaches (2011, background): “Since the available numerical algorithms often require a long computation time and a large memory storage space and are not appropriate for online CBM decision support ( Nardo et al .”