{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:7VNEWK3WI6DEPSLKHPFUIBG3RG","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"1db135b76963979a9cbd38128aa27e2e9cc04ce01b59d1a0f247136ab9e0ec73","cross_cats_sorted":["stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2017-06-06T20:46:56Z","title_canon_sha256":"a364dc8bc39598d9d280181d15974e33763985f2ff00740846f019f2c2b8a68b"},"schema_version":"1.0","source":{"id":"1706.01968","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.01968","created_at":"2026-05-18T00:22:33Z"},{"alias_kind":"arxiv_version","alias_value":"1706.01968v2","created_at":"2026-05-18T00:22:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.01968","created_at":"2026-05-18T00:22:33Z"},{"alias_kind":"pith_short_12","alias_value":"7VNEWK3WI6DE","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_16","alias_value":"7VNEWK3WI6DEPSLK","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_8","alias_value":"7VNEWK3W","created_at":"2026-05-18T12:31:05Z"}],"graph_snapshots":[{"event_id":"sha256:9a184730f0a62b52ca2297ba53c480bc085b91b1f29644b1b6c307406a743ec8","target":"graph","created_at":"2026-05-18T00:22:33Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"The block maxima method in extreme value theory consists of fitting an extreme value distribution to a sample of block maxima extracted from a time series. Traditionally, the maxima are taken over disjoint blocks of observations. Alternatively, the blocks can be chosen to slide through the observation period, yielding a larger number of overlapping blocks. Inference based on sliding blocks is found to be more efficient than inference based on disjoint blocks. The asymptotic variance of the maximum likelihood estimator of the Fr\\'{e}chet shape parameter is reduced by more than 18%. Interestingl","authors_text":"Axel B\\\"ucher, Johan Segers","cross_cats":["stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2017-06-06T20:46:56Z","title":"Inference for heavy tailed stationary time series based on sliding blocks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.01968","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:69a653975d32e1deb4920ccad26566e528e912848544e00609706e0fbb3e0c2f","target":"record","created_at":"2026-05-18T00:22:33Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"1db135b76963979a9cbd38128aa27e2e9cc04ce01b59d1a0f247136ab9e0ec73","cross_cats_sorted":["stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2017-06-06T20:46:56Z","title_canon_sha256":"a364dc8bc39598d9d280181d15974e33763985f2ff00740846f019f2c2b8a68b"},"schema_version":"1.0","source":{"id":"1706.01968","kind":"arxiv","version":2}},"canonical_sha256":"fd5a4b2b76478647c96a3bcb4404db89beea4b9951d2a9224ad0ed29f54dd0b5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fd5a4b2b76478647c96a3bcb4404db89beea4b9951d2a9224ad0ed29f54dd0b5","first_computed_at":"2026-05-18T00:22:33.316240Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:22:33.316240Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jtm8Ycxf3R2XXKX58gvQkxkXiDc1oxCdVYI4HI5/QL3Zo4SuSpLbjy54Gqrj4CFkA0hzHCUFPZyNjS21hRy0Bw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:22:33.316907Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.01968","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:69a653975d32e1deb4920ccad26566e528e912848544e00609706e0fbb3e0c2f","sha256:9a184730f0a62b52ca2297ba53c480bc085b91b1f29644b1b6c307406a743ec8"],"state_sha256":"497f4300e5b6d4da74efb1c3d46fbcc2ffe802087a02383d12e82f9518921db9"}