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A Bayesian hidden Markov model for imperfect debugging
Software reliability Failure times Bayes factor Model selection Abstract
2012/4/14
In this paper we present a new model to describe software failures from a debugging process. Our model allows for the imperfect debugging scenario by considering potential introduction of new bugs to ...
A Bayesian hidden Markov model for imperfect debugging
Software reliability Failure times Bayes factor Model selection Abstract
2012/4/15
In this paper we present a new model to describe software failures from a debugging process. Our model allows for the imperfect debugging scenario by considering potential introduction of new bugs to ...
Influences of variables on ship collision probability in a Bayesian belief network model
Maritime accidents Bayesian networks Sensitivity analysis Mutual information Causation probability
2012/4/15
The influences of the variables in a Bayesian belief network model for estimating the role of human factors on ship collision probability in the Gulf of Finland are studied for discovering the variabl...
Safety constraints applied to an adaptive Bayesian condition-based maintenance optimization model
Bayesian reliability Adaptive maintenance optimization model Safety constraint
2012/4/15
A model is described that determines an optimal inspection and maintenance scheme for a deteriorating unit with a stochastic degradation process with independent and stationary increments and for whic...
Analysis of the Schiphol Cell Complex fire using a Bayesian belief net based model
Bayesian belief networks Fire safety Schiphol Cell Complex
2012/4/22
In the night of the 26 and 27 October 2005, a fire broke out in the K-Wing of the Schiphol Cell Complex near Amsterdam. Eleven of 43 occupants of this wing died due to smoke inhalation. The Dutch Safe...
A Monte Carlo simulation for the assessment of Bayesian updating in dynamic systems
Bayesian updating Monte Carlo Failure probability Complexity Dynamic
2012/4/22
The aim of this paper is to explore the effectiveness of Bayesian updating, especially in dynamic systems, where failure probability is variant in time. Through the use of Monte Carlo simulation it wa...
Estimation of a quantity of interest in uncertainty analysis: Some help from Bayesian decision theory
Uncertainty analysis Decision theory Epistemic uncertainty Bayes estimation Predictive estimation
2012/4/22
In the context of risk analysis under uncertainty, we focus here on the problem of estimating a so-called quantity of interest of an uncertainty analysis problem, i.e. a given feature of the probabili...
Analysis of factors that influence hazardous material transportation accidents based on Bayesian networks: A case study in China
Hazardous materials (Hazmat) Transportation Bayesian networks Dempster–Shafer evidence theory Expectation–maximization algorithm
2012/4/14
Abstract
In this study, we applied Bayesian networks to prioritize the factors that influence hazardous material (Hazmat) transportation accidents. The Bayesian network structure was built based on e...