Bayesian Survival Analysis Model for Girth Weld Failure Prediction

Phased Arrays for Pipeline Girth Weld Inspections

Ultrasonic phased arrays offer significant advantages over radiography for pipeline weld inspections: they have higher detection rates for critical planar defects (i.e. cracks and lack of fusion), better defined interpretation, vertical sizing capability for Engineering Critical Assessment, no safety hazards, no licensing issues, no chemical wastes, and no requirement to evacuate the area. Phas...

The Prediction Model for Bankruptcy Risk by Bayesian Method

The importance of predicting bankruptcy risk of firms is increasing because of later financial crisis. Despite practical researchers trying to present models for predicting this risk, it seems that an optimum and acceptable model that is reliable for financial statement users and auditors in order to increase their ability in decision making and professional judgment has not been presented yet....

The Risk Model for Prediction of Survival in Heart Failure

Heart failure (HF) is a common clinical syndrome with high morbidity and mortality rates. Despite advances in HF management, prognosis of patients with HF are highly variable with annual mortality varying from 5% to 75%. It is very important for physicians to predict the prognosis of each patient to make decisions for medication, device implantation, transplantation and end-of-life care. Theref...

Bayesian Prediction in Spatial Data Analysis

Bayesian survival analysis using a MARS model.

A Bayesian multivariate adaptive regression spline fitting approach is used to model univariate and multivariate survival data with censoring. The possible models contain the proportional hazards model as a subclass and automatically detect departures from this. A reversible jump Markov chain Monte Carlo algorithm is described to obtain the estimate of the hazard function as well as the surviva...