Approaching the upper boundary of driver-response relationships: identifying factors using a novel framework integrating quantile regression with interpretable machine learning

2023, Volume 17, Issue 6

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Frontiers of Environmental Science & Engineering >> 2023, Volume 17, Issue 6 doi: 10.1007/s11783-023-1676-2

Approaching the upper boundary of driver-response relationships: identifying factors using a novel framework integrating quantile regression with interpretable machine learning

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Abstract

● A novel framework integrating quantile regression with machine learning is proposed.

Keywords

Driver-response ; Upper boundary of relationship ; Interpretable machine learning ; Quantile regression ; Total phosphorus ; Chlorophyll a

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