{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:OIBXETQJX2OB763VLEYRSJANA6","short_pith_number":"pith:OIBXETQJ","schema_version":"1.0","canonical_sha256":"7203724e09be9c1ffb75593119240d07a11a72c79ff42bad6c605d4b1342fd61","source":{"kind":"arxiv","id":"1411.4846","version":1},"attestation_state":"computed","paper":{"title":"Modelling and analysis of time in-homogeneous recurrent event processes in a heterogeneous population: A case study of HRTs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Elja Arjas, Madhuchhanda Bhattacharjee","submitted_at":"2014-11-18T14:05:23Z","abstract_excerpt":"In this work we present a method for the statistical analysis of continually monitored data arising in a recurrent diseases problem. The model enables individual level inference in the presence of time transience and population heterogeneity. This is achieved by applying Bayesian hierarchical modelling, where marked point processes are used as descriptions of the individual data, with latent variables providing a means of modelling long range dependence and transience over time. In addition to providing a sound probabilistic formulation of a rather complex data set, the proposed method is also"},"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":"1411.4846","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2014-11-18T14:05:23Z","cross_cats_sorted":[],"title_canon_sha256":"89b7a5a2ff923175c9ca8390a2fd4e5b3a16cc0c9db78d228d7feb37eb582637","abstract_canon_sha256":"8b14d26690e5f058c8f8e8496b389af11b0e07595c55b587dce375fb82460662"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:34:51.129404Z","signature_b64":"v5U5unrxk/rUoW1QK57K6pN03syxCBnhMfa+Uih3zAvFfImuf0omTa2c356mLv++eijUc7faS9bnE/cymYZOCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7203724e09be9c1ffb75593119240d07a11a72c79ff42bad6c605d4b1342fd61","last_reissued_at":"2026-05-18T02:34:51.128996Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:34:51.128996Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Modelling and analysis of time in-homogeneous recurrent event processes in a heterogeneous population: A case study of HRTs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Elja Arjas, Madhuchhanda Bhattacharjee","submitted_at":"2014-11-18T14:05:23Z","abstract_excerpt":"In this work we present a method for the statistical analysis of continually monitored data arising in a recurrent diseases problem. The model enables individual level inference in the presence of time transience and population heterogeneity. This is achieved by applying Bayesian hierarchical modelling, where marked point processes are used as descriptions of the individual data, with latent variables providing a means of modelling long range dependence and transience over time. In addition to providing a sound probabilistic formulation of a rather complex data set, the proposed method is also"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1411.4846","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":"1411.4846","created_at":"2026-05-18T02:34:51.129064+00:00"},{"alias_kind":"arxiv_version","alias_value":"1411.4846v1","created_at":"2026-05-18T02:34:51.129064+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1411.4846","created_at":"2026-05-18T02:34:51.129064+00:00"},{"alias_kind":"pith_short_12","alias_value":"OIBXETQJX2OB","created_at":"2026-05-18T12:28:41.024544+00:00"},{"alias_kind":"pith_short_16","alias_value":"OIBXETQJX2OB763V","created_at":"2026-05-18T12:28:41.024544+00:00"},{"alias_kind":"pith_short_8","alias_value":"OIBXETQJ","created_at":"2026-05-18T12:28:41.024544+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/OIBXETQJX2OB763VLEYRSJANA6","json":"https://pith.science/pith/OIBXETQJX2OB763VLEYRSJANA6.json","graph_json":"https://pith.science/api/pith-number/OIBXETQJX2OB763VLEYRSJANA6/graph.json","events_json":"https://pith.science/api/pith-number/OIBXETQJX2OB763VLEYRSJANA6/events.json","paper":"https://pith.science/paper/OIBXETQJ"},"agent_actions":{"view_html":"https://pith.science/pith/OIBXETQJX2OB763VLEYRSJANA6","download_json":"https://pith.science/pith/OIBXETQJX2OB763VLEYRSJANA6.json","view_paper":"https://pith.science/paper/OIBXETQJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1411.4846&json=true","fetch_graph":"https://pith.science/api/pith-number/OIBXETQJX2OB763VLEYRSJANA6/graph.json","fetch_events":"https://pith.science/api/pith-number/OIBXETQJX2OB763VLEYRSJANA6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OIBXETQJX2OB763VLEYRSJANA6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OIBXETQJX2OB763VLEYRSJANA6/action/storage_attestation","attest_author":"https://pith.science/pith/OIBXETQJX2OB763VLEYRSJANA6/action/author_attestation","sign_citation":"https://pith.science/pith/OIBXETQJX2OB763VLEYRSJANA6/action/citation_signature","submit_replication":"https://pith.science/pith/OIBXETQJX2OB763VLEYRSJANA6/action/replication_record"}},"created_at":"2026-05-18T02:34:51.129064+00:00","updated_at":"2026-05-18T02:34:51.129064+00:00"}