A log-odds pooling rule achieves minimax regret of 0.0255 for conditionally independent signals under prior-agnostic robust forecast aggregation with unknown state space.
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Prior-Agnostic Robust Forecast Aggregation
A log-odds pooling rule achieves minimax regret of 0.0255 for conditionally independent signals under prior-agnostic robust forecast aggregation with unknown state space.