Mixtures of experts for understanding model discrepancy in dynamic computer models
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Publication:1621328
DOI10.1016/j.csda.2013.04.020zbMath1471.62151OpenAlexW2043888344MaRDI QIDQ1621328
Lucy Marshall, David J. Nott, Mark Fielding, Shie-Yui Liong
Publication date: 8 November 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2013.04.020
Computational methods for problems pertaining to statistics (62-08) Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)
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Cites Work
- Bayesian forecasting and dynamic models.
- Modeling nonlinearities with mixtures-of-experts of time series models
- Mechanism-based emulation of dynamic simulation models: concept and application in hydrology
- Reified Bayesian modelling and inference for physical systems
- Bayesian emulation of complex multi-output and dynamic computer models
- The design and analysis of computer experiments.
- Design and analysis of computer experiments. With comments and a rejoinder by the authors
- Quantifying simulator discrepancy in discrete-time dynamical simulators
- Bayesian Calibration of Computer Models
- Gaussian process emulation of dynamic computer codes
- Computer Model Calibration Using High-Dimensional Output
- DATA AUGMENTATION AND DYNAMIC LINEAR MODELS
- On Gibbs sampling for state space models
- Bayesian Forecasting for Complex Systems Using Computer Simulators
- A simple and efficient simulation smoother for state space time series analysis
- The simulation smoother for time series models
- Bayes Linear Calibrated Prediction for Complex Systems
- An adaptive Metropolis algorithm
- Monte Carlo strategies in scientific computing
- Modularization in Bayesian analysis, with emphasis on analysis of computer models
- A dynamic modelling strategy for Bayesian computer model emulation
- A simulation approach to Bayesian emulation of complex dynamic computer models