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20192023
most citedVariable selection for Gaussian process regression through a sparse projection

2 citations · 4 across the 4 of their papers we have counts for

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2 papers · 1 filter

stat.ME2021

Gaussian Process Model for Estimating Piecewise Continuous Regression Functions

Chiwoo Park

This paper presents a Gaussian process (GP) model for estimating piecewise continuous regression functions. In scientific and engineering applications of regression analysis, the u…

stat.ME2019

Gaussian process surrogate modeling with manipulating factors for carbon nanotube growth experiments

Chiwoo Park, Rahul Rao, Pavel Nikolaev +1

This paper presents a new Gaussian process (GP) surrogate modeling for predicting the outcome of a physical experiment where some experimental inputs are controlled by other manipu…