{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:V7TSIQ4YSVUOOQQBHQ2WWOYE3A","short_pith_number":"pith:V7TSIQ4Y","canonical_record":{"source":{"id":"1907.04956","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2019-07-10T23:37:40Z","cross_cats_sorted":["stat.TH"],"title_canon_sha256":"579971e16ad80b140dbb30e605aa5b4410e102f6e2aef6e5408d49a07af482b6","abstract_canon_sha256":"112258b334521e5b662fb3fde17c782298dc1f77e985489d7679c725d07c8266"},"schema_version":"1.0"},"canonical_sha256":"afe72443989568e742013c356b3b04d8275ad862b810c7545c2bdac502484c52","source":{"kind":"arxiv","id":"1907.04956","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.04956","created_at":"2026-05-17T23:40:54Z"},{"alias_kind":"arxiv_version","alias_value":"1907.04956v1","created_at":"2026-05-17T23:40:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.04956","created_at":"2026-05-17T23:40:54Z"},{"alias_kind":"pith_short_12","alias_value":"V7TSIQ4YSVUO","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"V7TSIQ4YSVUOOQQB","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"V7TSIQ4Y","created_at":"2026-05-18T12:33:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:V7TSIQ4YSVUOOQQBHQ2WWOYE3A","target":"record","payload":{"canonical_record":{"source":{"id":"1907.04956","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2019-07-10T23:37:40Z","cross_cats_sorted":["stat.TH"],"title_canon_sha256":"579971e16ad80b140dbb30e605aa5b4410e102f6e2aef6e5408d49a07af482b6","abstract_canon_sha256":"112258b334521e5b662fb3fde17c782298dc1f77e985489d7679c725d07c8266"},"schema_version":"1.0"},"canonical_sha256":"afe72443989568e742013c356b3b04d8275ad862b810c7545c2bdac502484c52","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:40:54.342117Z","signature_b64":"M7Pk8boxEtPxkRjEH4BJB1lMtT8VlyB+a3B5kG7/LuKc7a3EHTVc4WrFkGdVpwfQHmBoWeuEpvl4ALbaz5awDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"afe72443989568e742013c356b3b04d8275ad862b810c7545c2bdac502484c52","last_reissued_at":"2026-05-17T23:40:54.341437Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:40:54.341437Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1907.04956","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:40:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OehFJF3kI3PGhf0lNEYhOn4YxYbzdTINngK9heqjHzSebD0xD45bIZg8g6qZfDUKRX2KbflBaglaK1V9Az9qBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T03:11:35.416540Z"},"content_sha256":"fb5986ffb3a725066d161ef19c35dd10e37370abb441bd1441b5fbac9671ec84","schema_version":"1.0","event_id":"sha256:fb5986ffb3a725066d161ef19c35dd10e37370abb441bd1441b5fbac9671ec84"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:V7TSIQ4YSVUOOQQBHQ2WWOYE3A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Nonparametric estimation of the conditional density function with right-censored and dependent data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.TH"],"primary_cat":"math.ST","authors_text":"Meijuan Ou, Xianzhu Xiong","submitted_at":"2019-07-10T23:37:40Z","abstract_excerpt":"In this paper, we study the local constant and the local linear estimators of the conditional density function with right-censored data which exhibit some type of dependence. It is assumed that the observations form a stationary $\\alpha-$mixing sequence. The asymptotic normality of the two estimators is established, which combined with the condition that $\\lim\\limits_{n\\rightarrow\\infty}nh_nb_n=\\infty$ implies the consistency of the two estimators and can be employed to construct confidence intervals for the conditional density function. The result on the local linear estimator of the conditio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.04956","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:40:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QLLuZJ7Nifuo7nYwAYRPbtfXRciPvy56TqxJz6ELQTqzGv7TmSg32bZhdq+P+v6PDm80UTkrgbufhba0UrI9BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T03:11:35.416894Z"},"content_sha256":"7ef5dc1f7f69749c2708c176a02b3741766882d87ef1a4d4e0cc6370e5d5a1fa","schema_version":"1.0","event_id":"sha256:7ef5dc1f7f69749c2708c176a02b3741766882d87ef1a4d4e0cc6370e5d5a1fa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/V7TSIQ4YSVUOOQQBHQ2WWOYE3A/bundle.json","state_url":"https://pith.science/pith/V7TSIQ4YSVUOOQQBHQ2WWOYE3A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/V7TSIQ4YSVUOOQQBHQ2WWOYE3A/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-28T03:11:35Z","links":{"resolver":"https://pith.science/pith/V7TSIQ4YSVUOOQQBHQ2WWOYE3A","bundle":"https://pith.science/pith/V7TSIQ4YSVUOOQQBHQ2WWOYE3A/bundle.json","state":"https://pith.science/pith/V7TSIQ4YSVUOOQQBHQ2WWOYE3A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/V7TSIQ4YSVUOOQQBHQ2WWOYE3A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:V7TSIQ4YSVUOOQQBHQ2WWOYE3A","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":"112258b334521e5b662fb3fde17c782298dc1f77e985489d7679c725d07c8266","cross_cats_sorted":["stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2019-07-10T23:37:40Z","title_canon_sha256":"579971e16ad80b140dbb30e605aa5b4410e102f6e2aef6e5408d49a07af482b6"},"schema_version":"1.0","source":{"id":"1907.04956","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.04956","created_at":"2026-05-17T23:40:54Z"},{"alias_kind":"arxiv_version","alias_value":"1907.04956v1","created_at":"2026-05-17T23:40:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.04956","created_at":"2026-05-17T23:40:54Z"},{"alias_kind":"pith_short_12","alias_value":"V7TSIQ4YSVUO","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"V7TSIQ4YSVUOOQQB","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"V7TSIQ4Y","created_at":"2026-05-18T12:33:30Z"}],"graph_snapshots":[{"event_id":"sha256:7ef5dc1f7f69749c2708c176a02b3741766882d87ef1a4d4e0cc6370e5d5a1fa","target":"graph","created_at":"2026-05-17T23:40:54Z","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":"In this paper, we study the local constant and the local linear estimators of the conditional density function with right-censored data which exhibit some type of dependence. It is assumed that the observations form a stationary $\\alpha-$mixing sequence. The asymptotic normality of the two estimators is established, which combined with the condition that $\\lim\\limits_{n\\rightarrow\\infty}nh_nb_n=\\infty$ implies the consistency of the two estimators and can be employed to construct confidence intervals for the conditional density function. The result on the local linear estimator of the conditio","authors_text":"Meijuan Ou, Xianzhu Xiong","cross_cats":["stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2019-07-10T23:37:40Z","title":"Nonparametric estimation of the conditional density function with right-censored and dependent data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.04956","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:fb5986ffb3a725066d161ef19c35dd10e37370abb441bd1441b5fbac9671ec84","target":"record","created_at":"2026-05-17T23:40:54Z","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":"112258b334521e5b662fb3fde17c782298dc1f77e985489d7679c725d07c8266","cross_cats_sorted":["stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2019-07-10T23:37:40Z","title_canon_sha256":"579971e16ad80b140dbb30e605aa5b4410e102f6e2aef6e5408d49a07af482b6"},"schema_version":"1.0","source":{"id":"1907.04956","kind":"arxiv","version":1}},"canonical_sha256":"afe72443989568e742013c356b3b04d8275ad862b810c7545c2bdac502484c52","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"afe72443989568e742013c356b3b04d8275ad862b810c7545c2bdac502484c52","first_computed_at":"2026-05-17T23:40:54.341437Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:40:54.341437Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"M7Pk8boxEtPxkRjEH4BJB1lMtT8VlyB+a3B5kG7/LuKc7a3EHTVc4WrFkGdVpwfQHmBoWeuEpvl4ALbaz5awDg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:40:54.342117Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.04956","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fb5986ffb3a725066d161ef19c35dd10e37370abb441bd1441b5fbac9671ec84","sha256:7ef5dc1f7f69749c2708c176a02b3741766882d87ef1a4d4e0cc6370e5d5a1fa"],"state_sha256":"b57e6fde7ae5d84386d94170bab0298907df0e1fdff4450dc11a3ee322e4b729"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M/LZCGCBK3VgfIpIqqRwWYAyTLanabsWmscCI7IloTR8yPXjO6PSDx241cC4/3sr6Kff1cqcwqnrwZHP1rYpCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T03:11:35.419111Z","bundle_sha256":"2f6de8d82a07466e68cca4ce8020839f2f20c039b38cbc34bd5fba791fe22245"}}