<ul><li>ARMA model serves as the cornerstone for time series forecasting, capturing trends and smoothing out volatility in data.</li><li>Modern forecasting challenges require powerful and flexible models beyond ARMA, such as deep learning architectures like GRU, GNN, KAN, and Mamba.</li><li>Gated Recurrent Unit (GRU) efficiently captures temporal dependencies without complex gating mechanisms of LSTMs.</li><li>Mamba is a breakthrough model for handling long sequences with lower complexity than Transformers, essential for tasks like climate forecasting and health monitoring.</li></ul>

Beyond ARMA: Unveiling Mamba, GRU, KAN & GNN for the Future of Time Series Forecasting

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