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Found 3 papers, 3 papers with code
Ensemble transport smoothing. Part II: Nonlinear updates
Smoothing is a specialized form of Bayesian inference for state-space models that characterizes the posterior distribution of a collection of states given an associated sequence of observations.
Ensemble transport smoothing. Part I: Unified framework
A companion paper (Ramgraber et al., 2023) explores the implementation of nonlinear ensemble transport smoothers in greater depth.
Comparing Well and Geophysical Data for Temperature Monitoring Within a Bayesian Experimental Design Framework
We use Bayesian Evidential Learning (BEL), a Monte Carlo-based training approach, to optimize the design of a 4D temperature field monitoring experiment.
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