Gaussian processes and limiting linear models

DOI10.1016/j.csda.2008.06.020zbMath1452.62064arXiv0804.4685OpenAlexW2069176726MaRDI QIDQ1023934

Herbert K. H. Lee, Robert B. Gramacy

Publication date: 16 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0804.4685

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Inference from spatial processes (62M30)

Related Items (6)

\textit{KrigInv}: an efficient and user-friendly implementation of batch-sequential inversion strategies based on kriging ⋮ Emulation engines: choice and quantification of uncertainty for complex hydrological models ⋮ Calibration of computer models with multivariate output ⋮ Cases for the nugget in modeling computer experiments ⋮ Calibration for computer experiments with binary responses and application to cell adhesion study ⋮ Sequential Design and Spatial Modeling for Portfolio Tail Risk Measurement

Uses Software

• R
• tgp

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Bagging predictors
• Multivariate adaptive regression splines
• Hedonic housing prices and the demand for clean air
• Practical nonparametric and semiparametric Bayesian statistics
• The design and analysis of computer experiments.
• Bayesian Calibration of Computer Models
• Bayesian Treed Gaussian Process Models With an Application to Computer Modeling
• Objective Bayesian Analysis of Spatially Correlated Data
• Bayesian treed models

This page was built for publication: Gaussian processes and limiting linear models