表題番号:2018K-383 日付:2019/04/09
研究課題Non-parametric Bayesian approach to modelling system reliability
研究者所属(当時) 資格 氏名
(代表者) 国際学術院 国際教養学部 教授 早川 有
(連携研究者) Victoria University of Wellington Associate Professor Richard Arnold
(連携研究者) Victoria University of Wellington Reader Stefanka Chukova
(連携研究者) Auckland University of Technology Senior Lecturer Sarah Marshall
研究成果概要

We are taking a nonparametric Bayesian approach to hazard function modelling. The high level of complexity of this approach has meant we spent a significant amount of time on review of the literature and on model formulation.  We have created a draft technical report summarising our findings and have implanted simulation models for the Gamma Process methodology which we are using. We are also working on biclustering in capture-recapture experiments from a nonparametric Bayesian perspective and are presenting our results at MMR 2019. 


We wrote a paper on delayed reporting of faults in warranty claims, in which the reporting process is modelled as a stochastic process dependent on the underlying stochastic process generating the faults.  Our paper has been presented at seminars and conferences. This research inspired another project on nonzero repair times dependent on the failure hazard.  Our paper on this project will be presented at MMR 2019.


We also worked on a review paper and a book chapter on geometric-like processes and their applications in warranty analysis.  Conference and workshop presentations have been given on this topic and we also present our paper at MMR 2019.  The book chapter has been accepted for publication.