{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:LZ6C35BKQ6ODSWVVCDJKWVPMIH","short_pith_number":"pith:LZ6C35BK","schema_version":"1.0","canonical_sha256":"5e7c2df42a879c395ab510d2ab55ec41e02703fe2a1ad405c8cea161a025efbe","source":{"kind":"arxiv","id":"1508.06313","version":2},"attestation_state":"computed","paper":{"title":"Capture-recapture abundance estimation using a semi-complete data likelihood approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.QM"],"primary_cat":"stat.ME","authors_text":"Brett T. McClintock, Darren Kidney, David Borchers, Ruth King","submitted_at":"2015-08-25T21:38:42Z","abstract_excerpt":"Capture-recapture data are often collected when abundance estimation is of interest. In the presence of unobserved individual heterogeneity, specified on a continuous scale for the capture probabilities, the likelihood is not generally available in closed form, but expressible only as an analytically intractable integral. Model-fitting algorithms to estimate abundance most notably include a numerical approximation for the likelihood or use of a Bayesian data augmentation technique considering the complete data likelihood. We consider a Bayesian hybrid approach, defining a \"semi-complete\" data "},"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":"1508.06313","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-08-25T21:38:42Z","cross_cats_sorted":["q-bio.QM"],"title_canon_sha256":"d942f8111572658dfec703782f51116686bab5088de46ec01f7ff28bb9d533cb","abstract_canon_sha256":"703ca5c4c599c539554d49fa575ee466b73904904ddd8b8f15e3945f44f71db5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:33:04.416158Z","signature_b64":"AyEci/kXOtps8StSKBlPUYxkHh1Vfmr/Wp8UqgV6roFyzF0jshcQxdl2yXIJi+g68j28lQ1MQDbsAewfkBTxAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5e7c2df42a879c395ab510d2ab55ec41e02703fe2a1ad405c8cea161a025efbe","last_reissued_at":"2026-05-18T00:33:04.415510Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:33:04.415510Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Capture-recapture abundance estimation using a semi-complete data likelihood approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.QM"],"primary_cat":"stat.ME","authors_text":"Brett T. McClintock, Darren Kidney, David Borchers, Ruth King","submitted_at":"2015-08-25T21:38:42Z","abstract_excerpt":"Capture-recapture data are often collected when abundance estimation is of interest. In the presence of unobserved individual heterogeneity, specified on a continuous scale for the capture probabilities, the likelihood is not generally available in closed form, but expressible only as an analytically intractable integral. Model-fitting algorithms to estimate abundance most notably include a numerical approximation for the likelihood or use of a Bayesian data augmentation technique considering the complete data likelihood. We consider a Bayesian hybrid approach, defining a \"semi-complete\" data "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1508.06313","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":"1508.06313","created_at":"2026-05-18T00:33:04.415609+00:00"},{"alias_kind":"arxiv_version","alias_value":"1508.06313v2","created_at":"2026-05-18T00:33:04.415609+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1508.06313","created_at":"2026-05-18T00:33:04.415609+00:00"},{"alias_kind":"pith_short_12","alias_value":"LZ6C35BKQ6OD","created_at":"2026-05-18T12:29:29.992203+00:00"},{"alias_kind":"pith_short_16","alias_value":"LZ6C35BKQ6ODSWVV","created_at":"2026-05-18T12:29:29.992203+00:00"},{"alias_kind":"pith_short_8","alias_value":"LZ6C35BK","created_at":"2026-05-18T12:29:29.992203+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/LZ6C35BKQ6ODSWVVCDJKWVPMIH","json":"https://pith.science/pith/LZ6C35BKQ6ODSWVVCDJKWVPMIH.json","graph_json":"https://pith.science/api/pith-number/LZ6C35BKQ6ODSWVVCDJKWVPMIH/graph.json","events_json":"https://pith.science/api/pith-number/LZ6C35BKQ6ODSWVVCDJKWVPMIH/events.json","paper":"https://pith.science/paper/LZ6C35BK"},"agent_actions":{"view_html":"https://pith.science/pith/LZ6C35BKQ6ODSWVVCDJKWVPMIH","download_json":"https://pith.science/pith/LZ6C35BKQ6ODSWVVCDJKWVPMIH.json","view_paper":"https://pith.science/paper/LZ6C35BK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1508.06313&json=true","fetch_graph":"https://pith.science/api/pith-number/LZ6C35BKQ6ODSWVVCDJKWVPMIH/graph.json","fetch_events":"https://pith.science/api/pith-number/LZ6C35BKQ6ODSWVVCDJKWVPMIH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LZ6C35BKQ6ODSWVVCDJKWVPMIH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LZ6C35BKQ6ODSWVVCDJKWVPMIH/action/storage_attestation","attest_author":"https://pith.science/pith/LZ6C35BKQ6ODSWVVCDJKWVPMIH/action/author_attestation","sign_citation":"https://pith.science/pith/LZ6C35BKQ6ODSWVVCDJKWVPMIH/action/citation_signature","submit_replication":"https://pith.science/pith/LZ6C35BKQ6ODSWVVCDJKWVPMIH/action/replication_record"}},"created_at":"2026-05-18T00:33:04.415609+00:00","updated_at":"2026-05-18T00:33:04.415609+00:00"}