APA (7th ed.) Citation

PL, M., & CK, W. (2019). Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data. Entropy (Basel, Switzerland), 21(2), . https://doi.org/10.3390/e21020184

Chicago Style (17th ed.) Citation

PL, McDermott, and Wikle CK. "Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data." Entropy (Basel, Switzerland) 21, no. 2 (2019). https://doi.org/10.3390/e21020184.

MLA (9th ed.) Citation

PL, McDermott, and Wikle CK. "Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data." Entropy (Basel, Switzerland), vol. 21, no. 2, 2019, https://doi.org/10.3390/e21020184.