Time Series Models

Time series analysis and forecasting with statistical models, exponential smoothing, and curve-fitting techniques.

Models

AR, MA, ARMA – autoregressive and moving average models.
ARIMA, SARIMA, SARIMAX – forecasting non-stationary and seasonal time series.
VAR – multivariate time series forecasting.
ARCH & GARCH – volatility modeling.
Classical Decomposition – trend, seasonality, and residual analysis.
Moving Average & Centered Moving Average (CMA) – trend estimation.
Holt-Winters – exponential smoothing for trend and seasonality.
Prophet – additive forecasting model with automatic trend and seasonality detection.

Name		Name	Last commit message	Last commit date
Latest commit History 64 Commits
Index2018		Index2018
catfish		catfish
ice_cream_vs_heater		ice_cream_vs_heater
meteorological		meteorological
#1 Time Series - AR, MA, ARMA, ARIMA.ipynb		#1 Time Series - AR, MA, ARMA, ARIMA.ipynb
#2 Time Series - SARIMA, SARIMAX.ipynb		#2 Time Series - SARIMA, SARIMAX.ipynb
#3 Time Series - VAR.ipynb		#3 Time Series - VAR.ipynb
#4 Time Series - ARCH.ipynb		#4 Time Series - ARCH.ipynb
#5 Time Series - GARCH.ipynb		#5 Time Series - GARCH.ipynb
#6 Time Series - ARIMA Box-Jenkins.ipynb		#6 Time Series - ARIMA Box-Jenkins.ipynb
#7 Time Series - Decomposition CMA&MA.ipynb		#7 Time Series - Decomposition CMA&MA.ipynb
#8 Time Series - Holt Winters Decomposition.ipynb		#8 Time Series - Holt Winters Decomposition.ipynb
#9 Time Series - Prophet.ipynb		#9 Time Series - Prophet.ipynb
README.md		README.md