{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:5L6M6VX2QVYWY2XK3VEGNEQES3","short_pith_number":"pith:5L6M6VX2","schema_version":"1.0","canonical_sha256":"eafccf56fa85716c6aeadd4866920496d15ed5ce4eca77acb388bf01a8cd33fd","source":{"kind":"arxiv","id":"1401.1026","version":1},"attestation_state":"computed","paper":{"title":"A nonstandard empirical likelihood for time series","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.TH"],"primary_cat":"math.ST","authors_text":"Daniel J. Nordman, Helle Bunzel, Soumendra N. Lahiri","submitted_at":"2014-01-06T10:03:14Z","abstract_excerpt":"Standard blockwise empirical likelihood (BEL) for stationary, weakly dependent time series requires specifying a fixed block length as a tuning parameter for setting confidence regions. This aspect can be difficult and impacts coverage accuracy. As an alternative, this paper proposes a new version of BEL based on a simple, though nonstandard, data-blocking rule which uses a data block of every possible length. Consequently, the method does not involve the usual block selection issues and is also anticipated to exhibit better coverage performance. Its nonstandard blocking scheme, however, induc"},"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":"1401.1026","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2014-01-06T10:03:14Z","cross_cats_sorted":["stat.TH"],"title_canon_sha256":"9ff2049023b075e6b2af986f33cc579552071dc2eb88424be337c2bcd3fd4a9c","abstract_canon_sha256":"bb4d394a095c6981668659efb941edb11a11b80fdb08430cbf3d0e1223d3b852"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:03:11.140729Z","signature_b64":"9YSzKiU9GchLV0ZQxHrbWhYvqpLv3bamd1Rnrmo3/KZ6Q/Iis+z0K/3aTNdkAvHaU05LiBnfDeiHwe4hYfqaBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eafccf56fa85716c6aeadd4866920496d15ed5ce4eca77acb388bf01a8cd33fd","last_reissued_at":"2026-05-18T03:03:11.140010Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:03:11.140010Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A nonstandard empirical likelihood for time series","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.TH"],"primary_cat":"math.ST","authors_text":"Daniel J. Nordman, Helle Bunzel, Soumendra N. Lahiri","submitted_at":"2014-01-06T10:03:14Z","abstract_excerpt":"Standard blockwise empirical likelihood (BEL) for stationary, weakly dependent time series requires specifying a fixed block length as a tuning parameter for setting confidence regions. This aspect can be difficult and impacts coverage accuracy. As an alternative, this paper proposes a new version of BEL based on a simple, though nonstandard, data-blocking rule which uses a data block of every possible length. Consequently, the method does not involve the usual block selection issues and is also anticipated to exhibit better coverage performance. Its nonstandard blocking scheme, however, induc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1401.1026","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":"1401.1026","created_at":"2026-05-18T03:03:11.140125+00:00"},{"alias_kind":"arxiv_version","alias_value":"1401.1026v1","created_at":"2026-05-18T03:03:11.140125+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1401.1026","created_at":"2026-05-18T03:03:11.140125+00:00"},{"alias_kind":"pith_short_12","alias_value":"5L6M6VX2QVYW","created_at":"2026-05-18T12:28:14.216126+00:00"},{"alias_kind":"pith_short_16","alias_value":"5L6M6VX2QVYWY2XK","created_at":"2026-05-18T12:28:14.216126+00:00"},{"alias_kind":"pith_short_8","alias_value":"5L6M6VX2","created_at":"2026-05-18T12:28:14.216126+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/5L6M6VX2QVYWY2XK3VEGNEQES3","json":"https://pith.science/pith/5L6M6VX2QVYWY2XK3VEGNEQES3.json","graph_json":"https://pith.science/api/pith-number/5L6M6VX2QVYWY2XK3VEGNEQES3/graph.json","events_json":"https://pith.science/api/pith-number/5L6M6VX2QVYWY2XK3VEGNEQES3/events.json","paper":"https://pith.science/paper/5L6M6VX2"},"agent_actions":{"view_html":"https://pith.science/pith/5L6M6VX2QVYWY2XK3VEGNEQES3","download_json":"https://pith.science/pith/5L6M6VX2QVYWY2XK3VEGNEQES3.json","view_paper":"https://pith.science/paper/5L6M6VX2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1401.1026&json=true","fetch_graph":"https://pith.science/api/pith-number/5L6M6VX2QVYWY2XK3VEGNEQES3/graph.json","fetch_events":"https://pith.science/api/pith-number/5L6M6VX2QVYWY2XK3VEGNEQES3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5L6M6VX2QVYWY2XK3VEGNEQES3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5L6M6VX2QVYWY2XK3VEGNEQES3/action/storage_attestation","attest_author":"https://pith.science/pith/5L6M6VX2QVYWY2XK3VEGNEQES3/action/author_attestation","sign_citation":"https://pith.science/pith/5L6M6VX2QVYWY2XK3VEGNEQES3/action/citation_signature","submit_replication":"https://pith.science/pith/5L6M6VX2QVYWY2XK3VEGNEQES3/action/replication_record"}},"created_at":"2026-05-18T03:03:11.140125+00:00","updated_at":"2026-05-18T03:03:11.140125+00:00"}