Vecchia-Approximated Deep Gaussian Processes for Computer Experiments-Reference-Cited by-同舟云学术

Vecchia-Approximated Deep Gaussian Processes for Computer Experiments

Published:2022-11-08 Issue: Volume: Page:1-14
ISSN:1061-8600
Container-title:Journal of Computational and Graphical Statistics
language:en
Short-container-title:Journal of Computational and Graphical Statistics

Author:

Sauer Annie¹,Cooper Andrew¹,Gramacy Robert B.¹

Affiliation:

1. Department of Statistics, Virginia Tech, Blacksburg, VA

Funder

U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research and Office of High Energy Physics, Scientific Discovery through Advanced Computing (SciDAC) program

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10618600.2022.2129662

Reference82 articles.

1. Analyzing Stochastic Computer Models: A Review with Opportunities

2. Gaussian predictive process models for large spatial data sets

3. Practical Heteroscedastic Gaussian Process Modeling for Large Simulation Experiments

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