{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:2NYEJGB4BZDFJXCPJ333UZKXIA","short_pith_number":"pith:2NYEJGB4","schema_version":"1.0","canonical_sha256":"d37044983c0e4654dc4f4ef7ba655740067d2137f2dd9bf6e84d51a5b5195070","source":{"kind":"arxiv","id":"1504.04722","version":1},"attestation_state":"computed","paper":{"title":"On Robustness of the Shiryaev-Roberts Procedure for Quickest Change-Point Detection under Parameter Misspecification in the Post-Change Distribution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.CO","authors_text":"Aleksey S. Polunchenko, Grigory Sokolov, Wenyu Du","submitted_at":"2015-04-18T14:26:42Z","abstract_excerpt":"The gist of the quickest change-point detection problem is to detect the presence of a change in the statistical behavior of a series of sequentially made observations, and do so in an optimal detection-speed-vs.-\"false-positive\"-risk manner. When optimality is understood either in the generalized Bayesian sense or as defined in Shiryaev's multi-cyclic setup, the so-called Shiryaev-Roberts (SR) detection procedure is known to be the \"best one can do\", provided, however, that the observations' pre- and post-change distributions are both fully specified. We consider a more realistic setup, viz. "},"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":"1504.04722","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2015-04-18T14:26:42Z","cross_cats_sorted":[],"title_canon_sha256":"2d713cc97985cf5e7c3966927a7a8cb508d5eba0edf3fcf20fe58aa3c12ef1dc","abstract_canon_sha256":"69fe5d7b9ab4244c59eb1e54769891e52c4dcfac163eb69024da9e2937548e1c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:18:25.001821Z","signature_b64":"BNEDxOST5UFVvYtBUwHiEKMxp45qwaUVWg5oQmpvrJrXAa9YPicIZLzdt6Plx8T6GQy/LZnOpToOhWdSHRGaDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d37044983c0e4654dc4f4ef7ba655740067d2137f2dd9bf6e84d51a5b5195070","last_reissued_at":"2026-05-18T02:18:25.000993Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:18:25.000993Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"On Robustness of the Shiryaev-Roberts Procedure for Quickest Change-Point Detection under Parameter Misspecification in the Post-Change Distribution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.CO","authors_text":"Aleksey S. Polunchenko, Grigory Sokolov, Wenyu Du","submitted_at":"2015-04-18T14:26:42Z","abstract_excerpt":"The gist of the quickest change-point detection problem is to detect the presence of a change in the statistical behavior of a series of sequentially made observations, and do so in an optimal detection-speed-vs.-\"false-positive\"-risk manner. When optimality is understood either in the generalized Bayesian sense or as defined in Shiryaev's multi-cyclic setup, the so-called Shiryaev-Roberts (SR) detection procedure is known to be the \"best one can do\", provided, however, that the observations' pre- and post-change distributions are both fully specified. We consider a more realistic setup, viz. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1504.04722","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":"1504.04722","created_at":"2026-05-18T02:18:25.001130+00:00"},{"alias_kind":"arxiv_version","alias_value":"1504.04722v1","created_at":"2026-05-18T02:18:25.001130+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1504.04722","created_at":"2026-05-18T02:18:25.001130+00:00"},{"alias_kind":"pith_short_12","alias_value":"2NYEJGB4BZDF","created_at":"2026-05-18T12:29:02.477457+00:00"},{"alias_kind":"pith_short_16","alias_value":"2NYEJGB4BZDFJXCP","created_at":"2026-05-18T12:29:02.477457+00:00"},{"alias_kind":"pith_short_8","alias_value":"2NYEJGB4","created_at":"2026-05-18T12:29:02.477457+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/2NYEJGB4BZDFJXCPJ333UZKXIA","json":"https://pith.science/pith/2NYEJGB4BZDFJXCPJ333UZKXIA.json","graph_json":"https://pith.science/api/pith-number/2NYEJGB4BZDFJXCPJ333UZKXIA/graph.json","events_json":"https://pith.science/api/pith-number/2NYEJGB4BZDFJXCPJ333UZKXIA/events.json","paper":"https://pith.science/paper/2NYEJGB4"},"agent_actions":{"view_html":"https://pith.science/pith/2NYEJGB4BZDFJXCPJ333UZKXIA","download_json":"https://pith.science/pith/2NYEJGB4BZDFJXCPJ333UZKXIA.json","view_paper":"https://pith.science/paper/2NYEJGB4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1504.04722&json=true","fetch_graph":"https://pith.science/api/pith-number/2NYEJGB4BZDFJXCPJ333UZKXIA/graph.json","fetch_events":"https://pith.science/api/pith-number/2NYEJGB4BZDFJXCPJ333UZKXIA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2NYEJGB4BZDFJXCPJ333UZKXIA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2NYEJGB4BZDFJXCPJ333UZKXIA/action/storage_attestation","attest_author":"https://pith.science/pith/2NYEJGB4BZDFJXCPJ333UZKXIA/action/author_attestation","sign_citation":"https://pith.science/pith/2NYEJGB4BZDFJXCPJ333UZKXIA/action/citation_signature","submit_replication":"https://pith.science/pith/2NYEJGB4BZDFJXCPJ333UZKXIA/action/replication_record"}},"created_at":"2026-05-18T02:18:25.001130+00:00","updated_at":"2026-05-18T02:18:25.001130+00:00"}