Compression of climate simulations with a nonstationary global SpatioTemporal SPDE model-Reference-Cited by-同舟云学术

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Compression of climate simulations with a nonstationary global SpatioTemporal SPDE model

Published:2020-06-01 Issue:2 Volume:14 Page:
ISSN:1932-6157
Container-title:The Annals of Applied Statistics
language:
Short-container-title:Ann. Appl. Stat.

Author:

Fuglstad Geir-Arne,Castruccio Stefano

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Link

https://projecteuclid.org/download/pdfview_1/euclid.aoas/1593449315

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Sensitivity analysis of wind energy resources with Bayesian non-Gaussian and nonstationary functional ANOVA;The Annals of Applied Statistics;2024-03-01

2. High-resolution global precipitation downscaling with latent Gaussian models and non-stationary stochastic partial differential equation structure;Journal of the Royal Statistical Society Series C: Applied Statistics;2023-09-06

3. Spatially varying anisotropy for Gaussian random fields in three-dimensional space;Spatial Statistics;2023-06

4. Efficient parameter estimation for parabolic SPDEs based on a log-linear model for realized volatilities;Japanese Journal of Statistics and Data Science;2023-02-18

5. A Stochastic Locally Diffusive Model with Neural Network‐Based Deformations for Global Sea Surface Temperature;Stat;2021-10-12

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