Linear-Cost Covariance Functions for Gaussian Random Fields
Author:
Affiliation:
1. MIT-IBM Watson AI Lab, IBM Research, Cambridge, MA
2. Rutgers University, Piscataway, NJ
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/01621459.2021.1919122
Reference79 articles.
1. Fast Direct Methods for Gaussian Processes
2. Ambikasaran, S., and O’Neil, M. (2014), “Fast Symmetric Factorization of Hierarchical Matrices With Applications,” arXiv preprint arXiv:1405.0223.
3. LAPACK Users' Guide
4. An Inversion-Free Estimating Equations Approach for Gaussian Process Models
5. A Matrix-free Approach for Solving the Parametric Gaussian Process Maximum Likelihood Problem
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