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"Bayesian Recurrent Neural Network Models for Forecasting and Quantifying ..."

Patrick L. McDermott, Christopher K. Wikle (2019)

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DOI: 10.3390/E21020184

access: open

type: Journal Article

metadata version: 2020-12-25

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  dblp key:
  - journals/entropy/McDermottW19
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  - https://dblp.org/rec/journals/entropy/McDermottW19
Patrick L. McDermott, Christopher K. Wikle:
Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data. Entropy 21(2): 184 (2019)

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