Autcha Araveeporn

A Generalized Bayesian Structural Time Series Framework for Forecasting Seasonal Data with Sparse Observations

This study proposes a Generalized Bayesian Structural Time Series (GBSTS) framework for forecasting seasonal time series with sparse observations. Rather than introducing new state-space components, the proposed framework systematically integrates alternative trend and seasonal specifications with multiple missing-data...