 | 2012 |
|---|
| 6 |       | Alex J. Cannon:
Neural networks for probabilistic environmental prediction: Conditional Density Estimation Network Creation and Evaluation (CaDENCE) in R.
Computers & Geosciences 41: 126-135 (2012) |
| 2011 |
|---|
| 5 | | Alex J. Cannon:
Quantile regression neural networks: Implementation in R and application to precipitation downscaling.
Computers & Geosciences 37(9): 1277-1284 (2011) |
| 4 | | Alex J. Cannon:
GEVcdn: An R package for nonstationary extreme value analysis by generalized extreme value conditional density estimation network.
Computers & Geosciences 37(9): 1532-1533 (2011) |
| 2008 |
|---|
| 3 | | Song Cai,
William W. Hsieh,
Alex J. Cannon:
A comparison of bayesian and conditional density models in probabilistic ozone forecasting.
IJCNN 2008: 2310-2314 |
| 2007 |
|---|
| 2 | | Alex J. Cannon:
Nonlinear analog predictor analysis: A coupled neural network/analog model for climate downscaling.
Neural Networks 20(4): 444-453 (2007) |
| 2006 |
|---|
| 1 | | Alex J. Cannon:
A Hybrid Neural Network/Analog Model for Climate Downscaling.
IJCNN 2006: 4595-4600 |
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