{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:4XMT6LUGSH3XX2FRDNJYCSJAEY","short_pith_number":"pith:4XMT6LUG","schema_version":"1.0","canonical_sha256":"e5d93f2e8691f77be8b11b538149202614be71277605168675a8ce9fed30ab7c","source":{"kind":"arxiv","id":"1406.7674","version":2},"attestation_state":"computed","paper":{"title":"Bayesian modelling of skewness and kurtosis with two-piece scale and shape distributions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"F. J. Rubio, M. F. J. Steel","submitted_at":"2014-06-30T11:13:10Z","abstract_excerpt":"We formalise and generalise the definition of the family of univariate double two--piece distributions, obtained by using a density--based transformation of unimodal symmetric continuous distributions with a shape parameter. The resulting distributions contain five interpretable parameters that control the mode, as well as the scale and shape in each direction. Four-parameter subfamilies of this class of distributions that capture different types of asymmetry are discussed. We propose interpretable scale and location-invariant benchmark priors and derive conditions for the propriety of the cor"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1406.7674","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-06-30T11:13:10Z","cross_cats_sorted":[],"title_canon_sha256":"72a68f1d49a1f924b29a59db671e8e143616e610bd69e7a94cb94edd79b89de3","abstract_canon_sha256":"b4aeb651e930b57472b627dbdb527a5f0f8ede63625fe4fedb8e6bc156ed313f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:35:43.638456Z","signature_b64":"TMWkHdeo2PSiG6Fzp49zuTuS2okb3Wng3e+cXmM+WvDEWSICL3QYvERuffxXuuvf4YRdE3hk/fXygszzeXtxCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e5d93f2e8691f77be8b11b538149202614be71277605168675a8ce9fed30ab7c","last_reissued_at":"2026-05-18T01:35:43.637981Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:35:43.637981Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Bayesian modelling of skewness and kurtosis with two-piece scale and shape distributions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"F. J. Rubio, M. F. J. Steel","submitted_at":"2014-06-30T11:13:10Z","abstract_excerpt":"We formalise and generalise the definition of the family of univariate double two--piece distributions, obtained by using a density--based transformation of unimodal symmetric continuous distributions with a shape parameter. The resulting distributions contain five interpretable parameters that control the mode, as well as the scale and shape in each direction. Four-parameter subfamilies of this class of distributions that capture different types of asymmetry are discussed. We propose interpretable scale and location-invariant benchmark priors and derive conditions for the propriety of the cor"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1406.7674","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1406.7674","created_at":"2026-05-18T01:35:43.638049+00:00"},{"alias_kind":"arxiv_version","alias_value":"1406.7674v2","created_at":"2026-05-18T01:35:43.638049+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1406.7674","created_at":"2026-05-18T01:35:43.638049+00:00"},{"alias_kind":"pith_short_12","alias_value":"4XMT6LUGSH3X","created_at":"2026-05-18T12:28:14.216126+00:00"},{"alias_kind":"pith_short_16","alias_value":"4XMT6LUGSH3XX2FR","created_at":"2026-05-18T12:28:14.216126+00:00"},{"alias_kind":"pith_short_8","alias_value":"4XMT6LUG","created_at":"2026-05-18T12:28:14.216126+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/4XMT6LUGSH3XX2FRDNJYCSJAEY","json":"https://pith.science/pith/4XMT6LUGSH3XX2FRDNJYCSJAEY.json","graph_json":"https://pith.science/api/pith-number/4XMT6LUGSH3XX2FRDNJYCSJAEY/graph.json","events_json":"https://pith.science/api/pith-number/4XMT6LUGSH3XX2FRDNJYCSJAEY/events.json","paper":"https://pith.science/paper/4XMT6LUG"},"agent_actions":{"view_html":"https://pith.science/pith/4XMT6LUGSH3XX2FRDNJYCSJAEY","download_json":"https://pith.science/pith/4XMT6LUGSH3XX2FRDNJYCSJAEY.json","view_paper":"https://pith.science/paper/4XMT6LUG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1406.7674&json=true","fetch_graph":"https://pith.science/api/pith-number/4XMT6LUGSH3XX2FRDNJYCSJAEY/graph.json","fetch_events":"https://pith.science/api/pith-number/4XMT6LUGSH3XX2FRDNJYCSJAEY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4XMT6LUGSH3XX2FRDNJYCSJAEY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4XMT6LUGSH3XX2FRDNJYCSJAEY/action/storage_attestation","attest_author":"https://pith.science/pith/4XMT6LUGSH3XX2FRDNJYCSJAEY/action/author_attestation","sign_citation":"https://pith.science/pith/4XMT6LUGSH3XX2FRDNJYCSJAEY/action/citation_signature","submit_replication":"https://pith.science/pith/4XMT6LUGSH3XX2FRDNJYCSJAEY/action/replication_record"}},"created_at":"2026-05-18T01:35:43.638049+00:00","updated_at":"2026-05-18T01:35:43.638049+00:00"}