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Optimal plug-in Gaussian processes for modelling derivatives

Optimal plug-in Gaussian processes for modelling derivatives

20 October 2022
Zejian Liu
Meng Li
ArXivPDFHTML

Papers citing "Optimal plug-in Gaussian processes for modelling derivatives"

3 / 3 papers shown
Title
On strong posterior contraction rates for Besov-Laplace priors in the
  white noise model
On strong posterior contraction rates for Besov-Laplace priors in the white noise model
Emanuele Dolera
Stefano Favaro
Matteo Giordano
26
0
0
11 Nov 2024
Semiparametric Bayesian Inference for Local Extrema of Functions in the
  Presence of Noise
Semiparametric Bayesian Inference for Local Extrema of Functions in the Presence of Noise
Meng Li
Zejian Liu
Cheng-han Yu
M. Vannucci
11
3
0
19 Mar 2021
On the Estimation of Derivatives Using Plug-in Kernel Ridge Regression
  Estimators
On the Estimation of Derivatives Using Plug-in Kernel Ridge Regression Estimators
Zejian Liu
Meng Li
19
8
0
02 Jun 2020
1