January 01, 2023 article Open access Uncertainty quantification for sparse spectral variational approximations in Gaussian process regression Electronic Journal of Statistics DOI: 10.1214/23-ejs2155 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 2 References 3 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Asymptotic frequentist coverage properties of Bayesian credible sets for sieve priors 2020 The Annals of Statistics article Mathematics Statistical Methods and Inference Open access 21 citations Can We Trust Bayesian Uncertainty Quantification from Gaussian Process Priors with Squared Exponential Covariance Kernel? 2021 SIAM/ASA Journal on Uncertainty Quantification article Computer Science Gaussian Processes and Bayesian Inference Open access 18 citations Optimal recovery and uncertainty quantification for distributed Gaussian process regression 2022 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access 3 citations 3 results