Bzst.com Website Review

I can no longer procrastinate writing about forecasting at scale! Quantitative forecasting of time series has been used (and taught) for decades, with applications in many areas of business such as demand forecasting, sales forecasting, and financial forecasting. The types of methods taught in forecasting courses tends to be well as state space models and non-parametric methods such as STL decompositions. conditional heteroskedasticity), GARCH (g=general), NAGARCH (n=nonlinear, a=asymmetric), and plenty more In practice, it is common to see 3 types of methods being used by companies for forecasting future values of a time series : exponential Why the difference? Because the goal is different! Statistical models such as ARIMA and all its econ flavors are often used for parameter estimation or statistical inference. Those are descriptive goals  (e.g., is this series a random walk?, what is the volatility of the errors?). The spectral approach by electrical engineers is often used for the descriptive goals of characterizing a series' frequencies (signal processing), or for anomaly detection. In contrast, the business applications are strictly predictive: they want forecasts of future values. The simplest methods in terms of ease-of-use, computation, software availability, and understanding, are linear regression models and exponential smoothing. And those methods provide sufficiently accurate forecasts in many applications - hence their ML algorithms are in line with a predictive goal, aimed solely at forecasting. ARIMA and state space models can also be used for forecasting (albeit using a different modeling process than for a descriptive goal). The reason ARIMA is commonly used in practice, in my opinion, is due to the availability of automated functions. For cases with a small number of time series to forecast (a typical case in many businesses), it is usually worthwhile investing time in properly modeling and evaluating each series individually in order to arrive at the simplest solution that provides the required level of