1 citations · 1 across the 2 of their papers we have counts for
3 papers
stat.ML2023★ 1 cited
Multi-Response Heteroscedastic Gaussian Process Models and Their Inference
Taehee Lee, Jun S. Liu
Despite the widespread utilization of Gaussian process models for versatile nonparametric modeling, they exhibit limitations in effectively capturing abrupt changes in function smo…
stat.AP2019
Heteroscedastic Gaussian Process Regression on the Alkenone over Sea Surface Temperatures
Taehee Lee, Charles E. Lawrence
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 ne…
stat.AP2019
Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals (BIGMACS): Applications for Paleoceanography
Taehee Lee, Lorraine E. Lisiecki, Devin Rand +2
We first introduce a novel profile-based alignment algorithm, the multiple continuous Signal Alignment algorithm with Gaussian Process Regression profiles (SA-GPR). SA-GPR addresse…