Various articles related to Bayesian modeling
I was tasked to attempt to add weather data(precipitation, temperature) to enhance forecast results for meal consumption quantity in a military mess hall near Daejon, Korea.
A hierarchical spline time series model is being experimented on for forecasting failure rates.
find i for
D ~ [D's trend, D's season, y_S_shift(i)]
df.epsilon = df.y - m.predict(df)['yhat']