Sensitivity Analysis of Continuous Time Bayesian Network Reliability Models
From MaRDI portal
Publication:2945156
DOI10.1137/140953848zbMath1322.60185OpenAlexW1979326328MaRDI QIDQ2945156
John W. Sheppard, Liessman Sturlaugson
Publication date: 9 September 2015
Published in: SIAM/ASA Journal on Uncertainty Quantification (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1137/140953848
Sensitivity, stability, parametric optimization (90C31) Applications of renewal theory (reliability, demand theory, etc.) (60K10) Continuous-time Markov processes on discrete state spaces (60J27)
Related Items (2)
Factored performance functions and decision making in continuous time Bayesian networks ⋮ Compact structures for continuous time Bayesian networks
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- An infinitesimal perturbation analysis algorithm for a multiclass G/G/1 queue
- Factored performance functions and decision making in continuous time Bayesian networks
- Intrusion Detection using Continuous Time Bayesian Networks
- A single sample path-based performance sensitivity formula for Markov chains
- Observable augmented systems for sensitivity analysis of Markov and semi-Markov processes
- A Compositional Semantics for Dynamic Fault Trees in Terms of Interactive Markov Chains
- On-line sensitivity analysis of Markov chains
- Derivative Estimates from Simulation of Continuous-Time Markov Chains
- Likelihood Ratio Sensitivity Analysis for Markovian Models of Highly Dependable Systems
- Perturbation realization, potentials, and sensitivity analysis of Markov processes
- Single sample path-based sensitivity analysis of Markov processes using uniformization
- Structural infinitesimal perturbation analysis (SIPA) for derivative estimation of discrete-event dynamic systems
- Relationship Between Perturbation Realization Factors With Queueing Models and Markov Models
This page was built for publication: Sensitivity Analysis of Continuous Time Bayesian Network Reliability Models