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pith:OELWAXDP

pith:2020:OELWAXDPEKNJDWMHGWNELW67OB
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Cobaya: Code for Bayesian Analysis of hierarchical physical models

Antony Lewis, Jesus Torrado

Cobaya automatically detects interdependencies in model pipelines to cache results and block parameters by dependency and cost for faster sampling.

arxiv:2005.05290 v2 · 2020-05-11 · astro-ph.IM · astro-ph.CO

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Claims

C1strongest claim

parameters are grouped in blocks according to their dependencies and optimally sorted, taking into account their individual computational costs, so as to minimize the cost of their variation during sampling, thanks to a novel algorithm.

C2weakest assumption

That the internal structure of an arbitrary user-supplied model pipeline can be automatically inspected and exploited for caching and blocking without requiring user-written dependency declarations or custom code.

C3one line summary

Cobaya is a modular Bayesian analysis code that exploits model interdependencies via automatic caching and a novel parameter-blocking algorithm to minimize sampling cost.

References

42 extracted · 42 resolved · 22 Pith anchors

[1] cobaya-doc mcmc
[2] On their way out of the model (i.e
[3] They are inter- faced directly from the 1D continuous distributions of scipy.stats3
[4] lambda x , y : stats . norm . logpdf ( x - y , loc =0 , scale =0.3) 2018
[5] R. M. Neal, (2005), math.ST/0502099 2005

Formal links

1 machine-checked theorem link

Cited by

62 papers in Pith

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First computed 2026-05-17T23:39:21.553426Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
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Canonical hash

7117605c6f229a91d987359a45dbdf707ea0f4b866e10ca28adb9a4556e8d98d

Aliases

arxiv: 2005.05290 · arxiv_version: 2005.05290v2 · doi: 10.48550/arxiv.2005.05290 · pith_short_12: OELWAXDPEKNJ · pith_short_16: OELWAXDPEKNJDWMH · pith_short_8: OELWAXDP
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/OELWAXDPEKNJDWMHGWNELW67OB \
  | jq -c '.canonical_record' \
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# expect: 7117605c6f229a91d987359a45dbdf707ea0f4b866e10ca28adb9a4556e8d98d
Canonical record JSON
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    "submitted_at": "2020-05-11T17:49:03Z",
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