Highlights Leaf nitrogen percentage in corn was estimated using various vegetation indices
derived from UAVs. Eight machine learning methods were compared to find the most …

The most important ingredient in Bayesian analysis is prior or prior distribution. A new prior
determination method was developed under the framework of parametric empirical Bayes …

Over the last few decades, reliability analysis has attracted significant interest due to its
importance in risk and asset integrity management. Meanwhile, Bayesian inference has …

In this paper, the one-way ANOVA model and its application in Bayesian multi-class variable
selection is considered. A full Bayesian bootstrap prior ANOVA test function is developed …

A new Bayesian estimation procedure for extended cox model with time varying covariate
was presented. The prior was determined using bootstrapping technique within the …

In this study, the Variational Bayes (VB) approach was hybridized with the bootstrap prior
procedure to improve the accuracy of subset selection as well as optimizing the algorithm …

This paper presents methods of Bayesian inference for Random Forest (RF) procedure with
high-dimensional data. The new methods termed Bayesian Random Forest (BRF) is …

The Weibull, log-logistic and log-normal distributions represent the heavy-tailed distributions
that are often used in modelling time-to-event data. While the loglogistic and log-normal …

Colon cancer is the second leading dreadful disease-causing death. The challenge in the
colon cancer detection is the accurate identification of the lesion at the early stage such that …

Objective: The occurrence of colon cancer starts in the inner wall of the large intestine. The
survival of colon cancer patients strongly relies on early detection. Diagnosing colon cancer …