In this paper,we introduce a methodology based on zero-inflated long-term survival data in order to deal with fraud rate estimation in bank loan portfolios.
The projective shape of an object consists of the information that is invariant under projective transformations; it arises naturally in computer vision as the information which can be retrieved when
Scalable Bayes for big data is a rapidly growing research area,but most existing methods are either highly complex to implement for practitioners,or lack theoretical justification for uncertainty quan
The main goal of this study is to develop a Simplified,Effective,Labour Monitoring-to-Action(SELMA)tool to identify women who are likely to develop poor labour-related outcomes.
Department of Industrial Systems Engineering,National University of Singapore Wiener process plays a crucial role in degradation modeling and condition based maintenance for critical assets.
At present,most of degradation tests are based on a special degradation models,which lack a united scenario to tackle the general degradation,recently,Tseng[?] proposed a class of exponential dispersi