SAGA applies a decoder-only transformer with split conformal prediction to multi-horizon labor earnings forecasting on Swedish panel data, outperforming parametric baselines with guaranteed coverage intervals.
Deep networks with stochastic depth,
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SAGA: A Sequence-Adaptive Generative Architecture for Multi-Horizon Probabilistic Forecasting with Adaptive Temporal Conformal Prediction
SAGA applies a decoder-only transformer with split conformal prediction to multi-horizon labor earnings forecasting on Swedish panel data, outperforming parametric baselines with guaranteed coverage intervals.