For example, a Bayesian approach was implemented to analyse longitudinal semicontinuous data in a clinical trial of acupuncture for chemotherapy-induced nausea, where the incorporation of spline ...

Yong Liu, Alan P. Ker, Rating Crop Insurance Contracts with Nonparametric Bayesian Model Averaging, Journal of Agricultural and Resource Economics, Vol. 45, No. 2 (May 2020), pp. 244-264 ...

A novel Bayesian Hierarchical Network Model (BHNM) is designed for ensemble predictions of daily river stage, leveraging the spatial interdependence of river networks and hydrometeorological variables ...

Empirical Bayes is a versatile approach to “learn from a lot” in two ways: first, from a large number of variables and, second, from a potentially large amount of prior information, for example, ...

We adapt a semi-Bayesian hierarchical modeling framework to jointly characterize the space–time variability of seasonal precipitation totals and precipitation extremes across the Northern Great Plains ...

The BO-GBRT model accurately predicts compressive strength in self-compacting concrete with recycled aggregates, improving upon traditional testing methods.