Evolving Bayesian Emulators for Structured Chaotic Time Series, with Application to Large Climate Models
出版年份 2014 全文链接
标题
Evolving Bayesian Emulators for Structured Chaotic Time Series, with Application to Large Climate Models
作者
关键词
-
出版物
SIAM-ASA Journal on Uncertainty Quantification
Volume 2, Issue 1, Pages 1-28
出版商
Society for Industrial & Applied Mathematics (SIAM)
发表日期
2014-01-17
DOI
10.1137/120900915
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- (2013) Daniel Williamson et al. CLIMATE DYNAMICS
- Fast linked analyses for scenario-based hierarchies
- (2013) Daniel Williamson et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS
- Obtaining diverse behaviors in a climate model without the use of flux adjustments
- (2013) Kuniko Yamazaki et al. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
- The effect of the nugget on Gaussian process emulators of computer models
- (2012) Ioannis Andrianakis et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Observed interannual variability of the Atlantic meridional overturning circulation at 26.5°N
- (2012) G. McCarthy et al. GEOPHYSICAL RESEARCH LETTERS
- Efficient emulators of computer experiments using compactly supported correlation functions, with an application to cosmology
- (2011) Cari G. Kaufman et al. Annals of Applied Statistics
- Multivariate probabilistic projections using imperfect climate models part I: outline of methodology
- (2011) David M. H. Sexton et al. CLIMATE DYNAMICS
- Monitoring the Atlantic meridional overturning circulation
- (2011) Darren Rayner et al. DEEP-SEA RESEARCH PART II-TOPICAL STUDIES IN OCEANOGRAPHY
- Bayesian policy support for adaptive strategies using computer models for complex physical systems
- (2011) D Williamson et al. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
- Large near-inertial oscillations of the Atlantic meridional overturning circulation
- (2011) Adam T. Blaker et al. OCEAN MODELLING
- Mechanism-based emulation of dynamic simulation models: Concept and application in hydrology
- (2010) P. Reichert et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Continuous, Array-Based Estimates of Atlantic Ocean Heat Transport at 26.5°N
- (2010) W. E. Johns et al. JOURNAL OF CLIMATE
- Cases for the nugget in modeling computer experiments
- (2010) Robert B. Gramacy et al. STATISTICS AND COMPUTING
- Gaussian process emulation of dynamic computer codes
- (2009) S. Conti et al. BIOMETRIKA
- The Potential to Narrow Uncertainty in Regional Climate Predictions
- (2009) Ed Hawkins et al. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
- Analyzing the Climate Sensitivity of the HadSM3 Climate Model Using Ensembles from Different but Related Experiments
- (2009) Jonathan Rougier et al. JOURNAL OF CLIMATE
- Bayesian emulation of complex multi-output and dynamic computer models
- (2009) Stefano Conti et al. JOURNAL OF STATISTICAL PLANNING AND INFERENCE
- Small Sample Bayesian Designs for Complex High-Dimensional Models Based on Information Gained Using Fast Approximations
- (2009) Jonathan A. Cumming et al. TECHNOMETRICS
- A Bayesian calibration approach to the thermal problem
- (2008) Dave Higdon et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Causes of Interannual–Decadal Variability in the Meridional Overturning Circulation of the Midlatitude North Atlantic Ocean
- (2008) Arne Biastoch et al. JOURNAL OF CLIMATE
- Efficient Emulators for Multivariate Deterministic Functions
- (2008) Jonathan Rougier JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
- Computer Model Calibration Using High-Dimensional Output
- (2008) Dave Higdon et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Kriging metamodeling in simulation: A review
- (2007) Jack P.C. Kleijnen EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
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