Bayesian computation for the superposition of nonhomogeneous poisson processes

DOI10.2307/3316110zbMath0942.62031OpenAlexW2092198059MaRDI QIDQ4944643

Lynn Kuo, Tae Young Yang

Publication date: 24 August 2000

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3316110

zbMATH Keywords

model selectionGibbs samplingdata augmentationmetropolis algorithmadditive intensity functionpredictive reliability function

Mathematics Subject Classification ID

Bayesian inference (62F15) Inference from stochastic processes (62M99) Numerical analysis or methods applied to Markov chains (65C40) Reliability and life testing (62N05)

Related Items (3)

Bayesian Analysis of Stochastic Processes in Reliability ⋮ Bayesian reliability modeling for masked system lifetime data ⋮ Bayesian nearest-neighbor analysis via record value statistics and nonhomogeneous spatial Poisson processes

Cites Work

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• Inference from iterative simulation using multiple sequences
• Markov chains for exploring posterior distributions. (With discussion)
• Bayesian Computation for Nonhomogeneous Poisson Processes in Software Reliability
• Sampling-Based Approaches to Calculating Marginal Densities
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• The Calculation of Posterior Distributions by Data Augmentation
• Bayesian Analysis for the Poly-Weibull Distribution
• A Statistical Approach to a Deterioration Process in Reinforced Concrete

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