{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:4J7FQQRIBDV2NL6TRR6MNFQRDF","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":"a6b17750accbc8aa38862c8c4943be8201e5bcdc0d24944b67c41c9e4bb5d405","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-01-29T01:32:17Z","title_canon_sha256":"f4f227d4008bcd2a239a03a4d5fd602e8595221407b2e645229bafd573d0235e"},"schema_version":"1.0","source":{"id":"1801.09338","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1801.09338","created_at":"2026-05-18T00:24:57Z"},{"alias_kind":"arxiv_version","alias_value":"1801.09338v1","created_at":"2026-05-18T00:24:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.09338","created_at":"2026-05-18T00:24:57Z"},{"alias_kind":"pith_short_12","alias_value":"4J7FQQRIBDV2","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_16","alias_value":"4J7FQQRIBDV2NL6T","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_8","alias_value":"4J7FQQRI","created_at":"2026-05-18T12:32:05Z"}],"graph_snapshots":[{"event_id":"sha256:23d83be0ebaf88c90850cf1fba32ec2f8d87f61dc3f4d1c885de1f06cd6a4e20","target":"graph","created_at":"2026-05-18T00:24:57Z","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":"Functional data analysis is proved to be useful in many scientific applications. The physical process is observed as curves and often there are several curves observed due to multiple subjects, providing the replicates in statistical sense. The recent literature develops several techniques for registering the curves and associated model estimation. However, very little has been investigated for statistical inference, specifically uncertainty estimation. In this article, we consider functional linear mixed modeling approach to combine several curves. We concentrate measuring uncertainty when th","authors_text":"Abolfazl Safikhani, Ping-Shou Zhong, Tapabrata Maiti","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-01-29T01:32:17Z","title":"Uncertainty Estimation in Functional Linear Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.09338","kind":"arxiv","version":1},"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":"sha256:38f503db485ca685bb14917a03b8d650fe4c2a13eb7bd6a659dc9d7bfe24bb44","target":"record","created_at":"2026-05-18T00:24:57Z","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":"a6b17750accbc8aa38862c8c4943be8201e5bcdc0d24944b67c41c9e4bb5d405","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-01-29T01:32:17Z","title_canon_sha256":"f4f227d4008bcd2a239a03a4d5fd602e8595221407b2e645229bafd573d0235e"},"schema_version":"1.0","source":{"id":"1801.09338","kind":"arxiv","version":1}},"canonical_sha256":"e27e58422808eba6afd38c7cc6961119652e143e173a5dd145da646547d79c10","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e27e58422808eba6afd38c7cc6961119652e143e173a5dd145da646547d79c10","first_computed_at":"2026-05-18T00:24:57.752657Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:24:57.752657Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qG/kxLSpl7K16YaNE7X6Qu0+8I2eapPm4vTYnvrsQ1TCCegfVz8vLLrypSw+yCcra114M83O7RhRk7bXfO8yCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:24:57.753308Z","signed_message":"canonical_sha256_bytes"},"source_id":"1801.09338","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:38f503db485ca685bb14917a03b8d650fe4c2a13eb7bd6a659dc9d7bfe24bb44","sha256:23d83be0ebaf88c90850cf1fba32ec2f8d87f61dc3f4d1c885de1f06cd6a4e20"],"state_sha256":"be29bf655220e9b99c69d8e4b3b664c92357726b505a73f7d476dff62d4039e4"}