Gaussian process regression in the flat limit
Author:
Affiliation:
1. CNRS, GIPSA-lab
2. CNRS, CRAN
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Reference49 articles.
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3. Monard, F., Nickl, R. and Paternain, G. P. (2019). Efficient nonparametric Bayesian inference for X-ray transforms. Ann. Statist. 47 1113–1147.
4. ROUSSEAU, J. (2016). On the frequentist properties of Bayesian nonparametric methods. Annu. Rev. Stat. Appl. 3 211–231.
5. WENDLAND, H. (2005). Scattered Data Approximation. Cambridge Monographs on Applied and Computational Mathematics 17. Cambridge Univ. Press, Cambridge.
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