• Corpus ID: 218581225

A Multi-Variate Triple-Regression Forecasting Algorithm for Long-Term Customized Allergy Season Prediction

@article{Wu2020AMT,
  title={A Multi-Variate Triple-Regression Forecasting Algorithm for Long-Term Customized Allergy Season Prediction},
  author={Xiaoyu Wu and David Borrelli and Zeyu Bai and Youzhi Liang},
  journal={ArXiv},
  year={2020},
  volume={abs/2005.04557}
}
In this paper, we propose a novel multi-variate algorithm using a triple-regression methodology to predict the airborne-pollen allergy season that can be customized for each patient in the long term. To improve the prediction accuracy, we first perform a pre-processing to integrate the historical data of pollen concentration and various inferential signals from other covariates such as the meteorological data. We then propose a novel algorithm which encompasses three-stage regressions: in Stage… 

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