Time Series Analysis (TSA) in Python - Linear Models to GARCH — BLACKARBS LLCPost OutlineMotivation The Basics Stationarity Serial Correlation (Autocorrelation) Why do we care about Serial Correlation? White Noise and Random Walks Linear Models Log-Linear Models Autoregressive Models - AR(p) Moving Average Models - MA(q) Autoregressive Moving Average Models - ARMA(p, q) Autoregressive Integrated Moving Average Models - ARIMA(p, d, q) Autoregressive Conditionally Heterskeda
