Ensemble Kalman Methods for High-Dimensional Hierarchical Dynamic Space-Time Models
Author:
Affiliation:
1. Department of Statistics, Texas A&M University, College Station, TX;
2. McDonough School of Business, Georgetown University, Washington, DC;
3. Department of Statistics, University of Missouri, Columbia, MO
Funder
National Science Foundation
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/01621459.2019.1592753
Reference114 articles.
1. Noisy Monte Carlo: convergence of Markov chains with approximate transition kernels
2. Gaussian anamorphosis in the analysis step of the EnKF: a joint state-variable/observation approach
3. The Data Assimilation Research Testbed: A Community Facility
4. An Ensemble Adjustment Kalman Filter for Data Assimilation
5. A Local Least Squares Framework for Ensemble Filtering
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