research
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09/27/2021
Probabilistic modeling of lake surface water temperature using a Bayesian spatio-temporal graph convolutional neural network
Accurate lake temperature estimation is essential for numerous problems ...
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05/12/2021
SPUX Framework: a Scalable Package for Bayesian Uncertainty Quantification and Propagation
We present SPUX - a modular framework for Bayesian inference enabling un...
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11/04/2017
SPUX: Scalable Particle Markov Chain Monte Carlo for uncertainty quantification in stochastic ecological models
Calibration of individual based models (IBMs), successful in modeling co...
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05/11/2017