Inference and Predictions from Poisson Point Processes Incorporating Expert Knowledge

摘要: Abstract We present a Bayesian approach for inference and predictions from nonhomogeneous Poisson point processes. The novel feature of our is the use “expert knowledge” or “engineering information” on mean value function process. describe two scenarios field reliability in which engineering information available. first scenario pertains to prediction software failures during debugging phase. Here expert knowledge provided by published empirical experiences engineers involved with testing several systems. second defects rail segment supplied an model.