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A Hierarchical Spatio-Temporal Analog Forecasting Model for Count Data
[article]
2017
arXiv
pre-print
1. Analog forecasting has been successful at producing robust forecasts for a variety of ecological and physical processes. Analog forecasting is a mechanism-free nonlinear method that forecasts a system forward in time by examining how past states deemed similar to the current state moved forward. Previous work on analog forecasting has typically been presented in an empirical or heuristic context, as opposed to a formal statistical context. 2. The model presented here extends the model-based
arXiv:1701.04485v1
fatcat:qixqeyxydne4vmqniv4vrpg7le