pith:S7LT2ECB
Prior-Agnostic Robust Forecast Aggregation
A closed-form log-odds aggregator pools expert forecasts in logit space to achieve minimax regret bounds below 0.026 even when the prior and state space are unknown.
arxiv:2604.24517 v2 · 2026-04-27 · cs.LG · cs.GT
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Record completeness
Claims
Our main contribution is a simple, explicit, closed-form log-odds aggregator that linearly pools forecasts in logit space, together with (nearly-)tight minimax-regret guarantees across three knowledge regimes.
The analysis relies on binary states and conditionally independent signals to obtain the stated regret numbers.
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.
Receipt and verification
| First computed | 2026-05-26T01:03:31.230487Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
97d73d1041d83253e7fa37501f19d4737e51184f9df9f5210f618ee993f819a7
Aliases
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/S7LT2ECB3AZFHZ72G5IB6GOUON \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 97d73d1041d83253e7fa37501f19d4737e51184f9df9f5210f618ee993f819a7
Canonical record JSON
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