Agriculture
Misc
- Packages
- {STCCGEV} - Spatio-Temporal, Conditional Copula Model for Crop Yield Forecasting
- Incorporates extreme weather covariates and Bayesian Structural Time Series models to analyze crop yield dependencies across multiple regions
- {STCCGEV} - Spatio-Temporal, Conditional Copula Model for Crop Yield Forecasting
- Papers
- Method: Using generalized additive models in the livestock animal sciences by Simpson (Repo)
- Shows how learning from data can produce a better fit to data than that of parametric models
- Shows how hierarchical GAMs can be used to estimate growth data from multiple animals in a single model
- Shows how hierarchical GAMs can be used for formal statistical inference in a designed experiment
- Method: Using generalized additive models in the livestock animal sciences by Simpson (Repo)
- Commodity prices normally forecast using a cobweb model which leads to price risk
- Vegetable price series are much more volatile than other commodities
- Seasonality regulates the supply and demand
- Perishable nature of the produce adds complications in stabalizing the price