Bayesian Evidential Learning for Hardness Prediction of Orebodies
Application to the Walker Lake Data Set
Geostatistics
Bayesianism
Uncertainty Quantification
This research minor explores the application of Bayesian evidential learning to predict ore hardness, applying the assumptions on the Walker Lake data set. The study focuses on integrating prior knowledge with observed data to enhance prediction accuracy and quantify uncertainties