Qilin Ren

Incorporating hydrometeorological drivers into regime-switching volatility framework for water-level prediction

Mathematical modeling plays an important role in probabilistic forecasting and stochastic time-series analysis, particularly for representing hidden states and time-varying volatility. This study develops a regime-switching volatility framework based on a hybrid ARIMAX -Markov Sw...