An Application of High-Dimensional Statistics to Predictive Modeling of Grade Variability
The economic viability of a mining project depends on its efficient exploration, which requires a prediction of worthwhile ore in a mine deposit. In this work, we apply the so-called LASSO methodology to estimate mineral concentration within unexplored areas. Our methodology outperforms traditional...
Main Authors: | Juri Hinz, Igor Grigoryev, Alexander Novikov |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-03-01
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Series: | Geosciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3263/10/4/116 |
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