{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2010:E5JE7F5QGSQYNIIAOBUKOYFRJI","short_pith_number":"pith:E5JE7F5Q","schema_version":"1.0","canonical_sha256":"27524f97b034a186a1007068a760b14a2be6b1a467e2ecea76aaf32793adb934","source":{"kind":"arxiv","id":"1010.1430","version":1},"attestation_state":"computed","paper":{"title":"A latent factor model for spatial data with informative missingness","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Brian J. Reich, Dipankar Bandyopadhyay","submitted_at":"2010-10-07T13:37:28Z","abstract_excerpt":"A large amount of data is typically collected during a periodontal exam. Analyzing these data poses several challenges. Several types of measurements are taken at many locations throughout the mouth. These spatially-referenced data are a mix of binary and continuous responses, making joint modeling difficult. Also, most patients have missing teeth. Periodontal disease is a leading cause of tooth loss, so it is likely that the number and location of missing teeth informs about the patient's periodontal health. In this paper we develop a multivariate spatial framework for these data which jointl"},"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":"1010.1430","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2010-10-07T13:37:28Z","cross_cats_sorted":[],"title_canon_sha256":"0d5785b0e3f286ba917882973ba5823d2da731bd8de878a99f4edc23c1bbc11f","abstract_canon_sha256":"97b4ccdf3ea201557cefd41e533de7c2873fc762c3de6e242806eea0147ec6cf"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:39:41.136021Z","signature_b64":"CiWfwRMFJiA+hnx7KreLISPucOtmppIx86B5fFvRybD7tx/SIz9yimbg5hutOAjFxBfgDOLyIDO3Y0fydBJXAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"27524f97b034a186a1007068a760b14a2be6b1a467e2ecea76aaf32793adb934","last_reissued_at":"2026-05-18T04:39:41.135322Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:39:41.135322Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A latent factor model for spatial data with informative missingness","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Brian J. Reich, Dipankar Bandyopadhyay","submitted_at":"2010-10-07T13:37:28Z","abstract_excerpt":"A large amount of data is typically collected during a periodontal exam. Analyzing these data poses several challenges. Several types of measurements are taken at many locations throughout the mouth. These spatially-referenced data are a mix of binary and continuous responses, making joint modeling difficult. Also, most patients have missing teeth. Periodontal disease is a leading cause of tooth loss, so it is likely that the number and location of missing teeth informs about the patient's periodontal health. In this paper we develop a multivariate spatial framework for these data which jointl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1010.1430","kind":"arxiv","version":1},"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":"1010.1430","created_at":"2026-05-18T04:39:41.135425+00:00"},{"alias_kind":"arxiv_version","alias_value":"1010.1430v1","created_at":"2026-05-18T04:39:41.135425+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1010.1430","created_at":"2026-05-18T04:39:41.135425+00:00"},{"alias_kind":"pith_short_12","alias_value":"E5JE7F5QGSQY","created_at":"2026-05-18T12:26:06.534383+00:00"},{"alias_kind":"pith_short_16","alias_value":"E5JE7F5QGSQYNIIA","created_at":"2026-05-18T12:26:06.534383+00:00"},{"alias_kind":"pith_short_8","alias_value":"E5JE7F5Q","created_at":"2026-05-18T12:26:06.534383+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/E5JE7F5QGSQYNIIAOBUKOYFRJI","json":"https://pith.science/pith/E5JE7F5QGSQYNIIAOBUKOYFRJI.json","graph_json":"https://pith.science/api/pith-number/E5JE7F5QGSQYNIIAOBUKOYFRJI/graph.json","events_json":"https://pith.science/api/pith-number/E5JE7F5QGSQYNIIAOBUKOYFRJI/events.json","paper":"https://pith.science/paper/E5JE7F5Q"},"agent_actions":{"view_html":"https://pith.science/pith/E5JE7F5QGSQYNIIAOBUKOYFRJI","download_json":"https://pith.science/pith/E5JE7F5QGSQYNIIAOBUKOYFRJI.json","view_paper":"https://pith.science/paper/E5JE7F5Q","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1010.1430&json=true","fetch_graph":"https://pith.science/api/pith-number/E5JE7F5QGSQYNIIAOBUKOYFRJI/graph.json","fetch_events":"https://pith.science/api/pith-number/E5JE7F5QGSQYNIIAOBUKOYFRJI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/E5JE7F5QGSQYNIIAOBUKOYFRJI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/E5JE7F5QGSQYNIIAOBUKOYFRJI/action/storage_attestation","attest_author":"https://pith.science/pith/E5JE7F5QGSQYNIIAOBUKOYFRJI/action/author_attestation","sign_citation":"https://pith.science/pith/E5JE7F5QGSQYNIIAOBUKOYFRJI/action/citation_signature","submit_replication":"https://pith.science/pith/E5JE7F5QGSQYNIIAOBUKOYFRJI/action/replication_record"}},"created_at":"2026-05-18T04:39:41.135425+00:00","updated_at":"2026-05-18T04:39:41.135425+00:00"}