{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:L7KXWFGTL4U7JQART4AJ77CTZG","short_pith_number":"pith:L7KXWFGT","schema_version":"1.0","canonical_sha256":"5fd57b14d35f29f4c0119f009ffc53c9873071929bdfdd1856e590936743e648","source":{"kind":"arxiv","id":"1901.08434","version":2},"attestation_state":"computed","paper":{"title":"Detecting Changes in Hidden Markov Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP","stat.TH"],"primary_cat":"math.ST","authors_text":"George V. Moustakides","submitted_at":"2019-01-24T14:41:14Z","abstract_excerpt":"We consider the problem of sequential detection of a change in the statistical behavior of a hidden Markov model. By adopting a worst-case analysis with respect to the time of change and by taking into account the data that can be accessed by the change-imposing mechanism we offer alternative formulations of the problem. For each formulation we derive the optimum Shewhart test that maximizes the worst-case detection probability while guaranteeing infrequent false alarms."},"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":"1901.08434","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2019-01-24T14:41:14Z","cross_cats_sorted":["stat.AP","stat.TH"],"title_canon_sha256":"20a551d9ff90603448032ece0e201650242fb337981442b9703b576993ffcbd7","abstract_canon_sha256":"e754df586984deb5ac818e7ced6dd37e00788f4c7ca406024e6595a38855ab71"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:55:26.739847Z","signature_b64":"MKOvinRr7zYR7SR2VvthS82qQL+2O+hJASpC68E9f8e37w884O/RVrcNNGyqYzDpLRxDbXHk9nD5t29UZ961CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5fd57b14d35f29f4c0119f009ffc53c9873071929bdfdd1856e590936743e648","last_reissued_at":"2026-05-17T23:55:26.739448Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:55:26.739448Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Detecting Changes in Hidden Markov Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP","stat.TH"],"primary_cat":"math.ST","authors_text":"George V. Moustakides","submitted_at":"2019-01-24T14:41:14Z","abstract_excerpt":"We consider the problem of sequential detection of a change in the statistical behavior of a hidden Markov model. By adopting a worst-case analysis with respect to the time of change and by taking into account the data that can be accessed by the change-imposing mechanism we offer alternative formulations of the problem. For each formulation we derive the optimum Shewhart test that maximizes the worst-case detection probability while guaranteeing infrequent false alarms."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.08434","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":"1901.08434","created_at":"2026-05-17T23:55:26.739517+00:00"},{"alias_kind":"arxiv_version","alias_value":"1901.08434v2","created_at":"2026-05-17T23:55:26.739517+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.08434","created_at":"2026-05-17T23:55:26.739517+00:00"},{"alias_kind":"pith_short_12","alias_value":"L7KXWFGTL4U7","created_at":"2026-05-18T12:33:21.387695+00:00"},{"alias_kind":"pith_short_16","alias_value":"L7KXWFGTL4U7JQAR","created_at":"2026-05-18T12:33:21.387695+00:00"},{"alias_kind":"pith_short_8","alias_value":"L7KXWFGT","created_at":"2026-05-18T12:33:21.387695+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/L7KXWFGTL4U7JQART4AJ77CTZG","json":"https://pith.science/pith/L7KXWFGTL4U7JQART4AJ77CTZG.json","graph_json":"https://pith.science/api/pith-number/L7KXWFGTL4U7JQART4AJ77CTZG/graph.json","events_json":"https://pith.science/api/pith-number/L7KXWFGTL4U7JQART4AJ77CTZG/events.json","paper":"https://pith.science/paper/L7KXWFGT"},"agent_actions":{"view_html":"https://pith.science/pith/L7KXWFGTL4U7JQART4AJ77CTZG","download_json":"https://pith.science/pith/L7KXWFGTL4U7JQART4AJ77CTZG.json","view_paper":"https://pith.science/paper/L7KXWFGT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1901.08434&json=true","fetch_graph":"https://pith.science/api/pith-number/L7KXWFGTL4U7JQART4AJ77CTZG/graph.json","fetch_events":"https://pith.science/api/pith-number/L7KXWFGTL4U7JQART4AJ77CTZG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/L7KXWFGTL4U7JQART4AJ77CTZG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/L7KXWFGTL4U7JQART4AJ77CTZG/action/storage_attestation","attest_author":"https://pith.science/pith/L7KXWFGTL4U7JQART4AJ77CTZG/action/author_attestation","sign_citation":"https://pith.science/pith/L7KXWFGTL4U7JQART4AJ77CTZG/action/citation_signature","submit_replication":"https://pith.science/pith/L7KXWFGTL4U7JQART4AJ77CTZG/action/replication_record"}},"created_at":"2026-05-17T23:55:26.739517+00:00","updated_at":"2026-05-17T23:55:26.739517+00:00"}