Heteroscedastic Gaussian Process Regression on the Alkenone over Sea Surface Temperatures

Code

• github.com/eilion/HGPR_SST_Proxy_Cal
  OfficialIn papernone★ 0

Abstract

To restore the historical sea surface temperatures (SSTs) better, it is important to construct a good calibration model for the associated proxies. In this paper, we introduce a new model for alkenone (U_37^K') based on the heteroscedastic Gaussian process (GP) regression method. Our nonparametric approach not only deals with the variable pattern of noises over SSTs but also contains a Bayesian method of classifying potential outliers.

Tasks

Reproductions