/time-series-notes

Notes on time series and forecasting methods

Primary LanguageJupyter NotebookMIT LicenseMIT

Time series notes

Notes on time series and forecasting methods

Contents

  1. Generating date ranges in pandas
  2. Croston's method for forecasting intermittent demand
  3. Demonstrating that t-tests should not be used for time series data
  4. Modeling autocorrelations: Newey-West HAC and ARIMA models
  5. Trend-stationary versus difference-stationary time series

Repo structure