pith:OEDWCNQO
emcee: The MCMC Hammer
The emcee package implements an affine-invariant ensemble sampler for MCMC that requires tuning only one or two parameters.
arxiv:1202.3665 v4 · 2012-02-16 · astro-ph.IM · physics.comp-ph · stat.CO
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\pithnumber{OEDWCNQO2J467CNRDJ2ZHJ6X2M}
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Claims
One major advantage of the algorithm is that it requires hand-tuning of only 1 or 2 parameters compared to ∼N² for a traditional algorithm in an N-dimensional parameter space.
The ensemble sampler converges reliably to the target posterior for the user's specific likelihood function and that the computational cost of evaluating the likelihood many times is feasible.
emcee delivers a stable Python implementation of the affine-invariant ensemble MCMC algorithm that requires minimal hand-tuning and supports easy parallelization.
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Receipt and verification
| First computed | 2026-05-18T04:42:33.581603Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
710761360ed279ef89b11a7593a7d7d3108cee5e051337eaa6fd80d1b0b1099a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OEDWCNQO2J467CNRDJ2ZHJ6X2M \
| 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: 710761360ed279ef89b11a7593a7d7d3108cee5e051337eaa6fd80d1b0b1099a
Canonical record JSON
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