Bibliographic Details
| Title: |
Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data. |
| Authors: |
McDermott PL; Jupiter Intelligence, Boulder, CO 80302, USA., Wikle CK; Department of Statistics, University of Missouri, Columbia, MO 65211, USA. |
| Source: |
Entropy (Basel, Switzerland) [Entropy (Basel)] 2019 Feb 15; Vol. 21 (2). Date of Electronic Publication: 2019 Feb 15. |
| Publication Type: |
Journal Article |
| Journal Info: |
Publisher: MDPI Country of Publication: Switzerland NLM ID: 101243874 Publication Model: Electronic Cited Medium: Internet ISSN: 1099-4300 (Electronic) Linking ISSN: 10994300 NLM ISO Abbreviation: Entropy (Basel) Subsets: PubMed not MEDLINE |
| Database: |
MEDLINE Ultimate |
