{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:HTLWLGBFSUR3SHAAPRMKMDGGHA","short_pith_number":"pith:HTLWLGBF","schema_version":"1.0","canonical_sha256":"3cd76598259523b91c007c58a60cc6383643831ab8299d01f0c277e0d98c1070","source":{"kind":"arxiv","id":"1311.4030","version":3},"attestation_state":"computed","paper":{"title":"New procedures controlling the false discovery proportion via Romano-Wolf's heuristic","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.TH"],"primary_cat":"math.ST","authors_text":"Etienne Roquain (LPMA), Sylvain Delattre (LPMA)","submitted_at":"2013-11-16T07:35:31Z","abstract_excerpt":"The false discovery proportion (FDP) is a convenient way to account for false positives when a large number $m$ of tests are performed simultaneously. Romano and Wolf [Ann. Statist. 35 (2007) 1378-1408] have proposed a general principle that builds FDP controlling procedures from $k$-family-wise error rate controlling procedures while incorporating dependencies in an appropriate manner; see Korn et al. [J. Statist. Plann. Inference 124 (2004) 379-398]; Romano and Wolf (2007). However, the theoretical validity of the latter is still largely unknown. This paper provides a careful study of this h"},"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":"1311.4030","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2013-11-16T07:35:31Z","cross_cats_sorted":["stat.TH"],"title_canon_sha256":"c9c91016dd6a9abe7966f7a7a57369c5f5c089a03a9c519535539233533576a4","abstract_canon_sha256":"9138be12adfbb57abe66e971d2d8a385a711c1fd1abd762949195d814304b324"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:56:00.055184Z","signature_b64":"1rbFYPl4ObOhNKRyCvepV+m2fntKyJIshL9UL7rCB2uD9VvFddcawCz+ac2qg7Ps7OsGRZJRdxkypvSapLKzCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3cd76598259523b91c007c58a60cc6383643831ab8299d01f0c277e0d98c1070","last_reissued_at":"2026-05-18T01:56:00.054540Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:56:00.054540Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"New procedures controlling the false discovery proportion via Romano-Wolf's heuristic","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.TH"],"primary_cat":"math.ST","authors_text":"Etienne Roquain (LPMA), Sylvain Delattre (LPMA)","submitted_at":"2013-11-16T07:35:31Z","abstract_excerpt":"The false discovery proportion (FDP) is a convenient way to account for false positives when a large number $m$ of tests are performed simultaneously. Romano and Wolf [Ann. Statist. 35 (2007) 1378-1408] have proposed a general principle that builds FDP controlling procedures from $k$-family-wise error rate controlling procedures while incorporating dependencies in an appropriate manner; see Korn et al. [J. Statist. Plann. Inference 124 (2004) 379-398]; Romano and Wolf (2007). However, the theoretical validity of the latter is still largely unknown. This paper provides a careful study of this h"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1311.4030","kind":"arxiv","version":3},"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":"1311.4030","created_at":"2026-05-18T01:56:00.054640+00:00"},{"alias_kind":"arxiv_version","alias_value":"1311.4030v3","created_at":"2026-05-18T01:56:00.054640+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1311.4030","created_at":"2026-05-18T01:56:00.054640+00:00"},{"alias_kind":"pith_short_12","alias_value":"HTLWLGBFSUR3","created_at":"2026-05-18T12:27:46.883200+00:00"},{"alias_kind":"pith_short_16","alias_value":"HTLWLGBFSUR3SHAA","created_at":"2026-05-18T12:27:46.883200+00:00"},{"alias_kind":"pith_short_8","alias_value":"HTLWLGBF","created_at":"2026-05-18T12:27:46.883200+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/HTLWLGBFSUR3SHAAPRMKMDGGHA","json":"https://pith.science/pith/HTLWLGBFSUR3SHAAPRMKMDGGHA.json","graph_json":"https://pith.science/api/pith-number/HTLWLGBFSUR3SHAAPRMKMDGGHA/graph.json","events_json":"https://pith.science/api/pith-number/HTLWLGBFSUR3SHAAPRMKMDGGHA/events.json","paper":"https://pith.science/paper/HTLWLGBF"},"agent_actions":{"view_html":"https://pith.science/pith/HTLWLGBFSUR3SHAAPRMKMDGGHA","download_json":"https://pith.science/pith/HTLWLGBFSUR3SHAAPRMKMDGGHA.json","view_paper":"https://pith.science/paper/HTLWLGBF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1311.4030&json=true","fetch_graph":"https://pith.science/api/pith-number/HTLWLGBFSUR3SHAAPRMKMDGGHA/graph.json","fetch_events":"https://pith.science/api/pith-number/HTLWLGBFSUR3SHAAPRMKMDGGHA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HTLWLGBFSUR3SHAAPRMKMDGGHA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HTLWLGBFSUR3SHAAPRMKMDGGHA/action/storage_attestation","attest_author":"https://pith.science/pith/HTLWLGBFSUR3SHAAPRMKMDGGHA/action/author_attestation","sign_citation":"https://pith.science/pith/HTLWLGBFSUR3SHAAPRMKMDGGHA/action/citation_signature","submit_replication":"https://pith.science/pith/HTLWLGBFSUR3SHAAPRMKMDGGHA/action/replication_record"}},"created_at":"2026-05-18T01:56:00.054640+00:00","updated_at":"2026-05-18T01:56:00.054640+00:00"}