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Pith Number

pith:EQV7FW6A

pith:2016:EQV7FW6AYV3RD4O3ZRVD46OUX7
not attested not anchored not stored refs pending

Trace-class Monte Carlo Markov Chains for Bayesian Multivariate Linear Regression with Non-Gaussian Errors

James P. Hobert, Qian Qin

arxiv:1602.00136 v2 · 2016-01-30 · math.ST · stat.TH

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EQV7FW6AYV3RD4O3ZRVD46OUX7}

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Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
Portable graph bundle live · download bundle · merged state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.
Receipt and verification
First computed 2026-05-18T01:13:09.456334Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

242bf2dbc0c57711f1dbcc6a3e79d4bfd164fcaef2278c997265d13b6d4be029

Aliases

arxiv: 1602.00136 · arxiv_version: 1602.00136v2 · doi: 10.48550/arxiv.1602.00136 · pith_short_12: EQV7FW6AYV3R · pith_short_16: EQV7FW6AYV3RD4O3 · pith_short_8: EQV7FW6A
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EQV7FW6AYV3RD4O3ZRVD46OUX7 \
  | 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: 242bf2dbc0c57711f1dbcc6a3e79d4bfd164fcaef2278c997265d13b6d4be029
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "f93b45bcc7d94eea8e909d0874ef811dff2f3d11a0b2c9bff54bdb4bc5a696ad",
    "cross_cats_sorted": [
      "stat.TH"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "math.ST",
    "submitted_at": "2016-01-30T16:28:26Z",
    "title_canon_sha256": "395f20d36f7869dd0cf3493a82e6adce0e32eee55466438fec83b4cec166ff66"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1602.00136",
    "kind": "arxiv",
    "version": 2
  }
}