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12/07/2022
Bayesian Forecasting in the 21st Century: A Modern Review
The Bayesian statistical paradigm provides a principled and coherent app...
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03/30/2021
Model combinations through revised base-rates
Standard selection criteria for forecasting models focus on information ...
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02/22/2021
Manifold learning with approximate nearest neighbors
Manifold learning algorithms are valuable tools for the analysis of high...
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08/01/2019
Updating Variational Bayes: Fast sequential posterior inference
Variational Bayesian (VB) methods produce posterior inference in a time ...
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08/08/2018