dynamic-regression

Multi term Polynomial Regression with Learnable Exponents and Coefficients (+L1 Regularisation for Term Pruning & Coefficient/Exponent Based Feature augmentation)

ARIMA Time series forecasting to predict inquiry demand using digital advertising data

A comprehensive R project exploring time series analysis and forecasting techniques, including decomposition, exponential smoothing, ARIMA, dynamic regression, and hierarchical/grouped time series modeling, with clear visualizations and real-world datasets.

Research code accompanying my PhD thesis: extensions to dynamic and static Bayesian shrinkage methods in R and MATLAB.

Sales forecasting using historical data using dynamic regression

Time-series analysis of the air traffic on three European countries (Spain, Germany and Italy).

Forecasting superstore sales using advanced time series models in R.