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What is Quantile Regression

Chapter 147
Encyclopedia of Data Science and Machine Learning
Quantile regression enables quantification of the relationship between dependent and independent variables across different quantiles of the conditional distribution of the dependent variable.
Published in Chapter:
Quantile Regression Applications in Climate Change
Leigh Wang (Northwestern University, USA) and Mengying Xia (Emory University, USA)
Copyright: © 2023 |Pages: 13
DOI: 10.4018/978-1-7998-9220-5.ch147
Abstract
Climate change has become one of the most severe and pressing world issues due to its destructive effects of environmental degradation. Climate change aggravates global warming and brings about potential risks for both human society and natural systems. The quantile regression being used to help with climate change is exceptionally new. The article scrutinizes the newest developments in this important research area and provides the future research directions.
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Chapter 1
Downscaling of Open Coarse Precipitation Data Using a Machine Learning Algorithm
Is a regression technique used in data science. It is an advanced version of linear regression, which does not forge any assumptions between the distributions of residuals.
Published in Chapter: Downscaling of Open Coarse Precipitation Data Using a Machine Learning Algorithm; From: Impacts of Climate Change on Agriculture and Aquaculture
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