{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:3PJSNGJK5G2UOV5IN5WPLZAEUK","short_pith_number":"pith:3PJSNGJK","canonical_record":{"source":{"id":"1809.03645","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.ME","submitted_at":"2018-09-11T00:59:53Z","cross_cats_sorted":[],"title_canon_sha256":"f308187e4cbc2d3dfc6e6979c3e76f702ff6a0863e5bfcc70fa06099f46b719d","abstract_canon_sha256":"1846db8486a95e75c23fdc3b005dfc2b5abb78abe10722e3df897e3eeeb0bcdd"},"schema_version":"1.0"},"canonical_sha256":"dbd326992ae9b54757a86f6cf5e404a2ba87b460376d7b0431bf7660adfe3639","source":{"kind":"arxiv","id":"1809.03645","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.03645","created_at":"2026-05-18T00:06:00Z"},{"alias_kind":"arxiv_version","alias_value":"1809.03645v1","created_at":"2026-05-18T00:06:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.03645","created_at":"2026-05-18T00:06:00Z"},{"alias_kind":"pith_short_12","alias_value":"3PJSNGJK5G2U","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_16","alias_value":"3PJSNGJK5G2UOV5I","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_8","alias_value":"3PJSNGJK","created_at":"2026-05-18T12:32:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:3PJSNGJK5G2UOV5IN5WPLZAEUK","target":"record","payload":{"canonical_record":{"source":{"id":"1809.03645","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.ME","submitted_at":"2018-09-11T00:59:53Z","cross_cats_sorted":[],"title_canon_sha256":"f308187e4cbc2d3dfc6e6979c3e76f702ff6a0863e5bfcc70fa06099f46b719d","abstract_canon_sha256":"1846db8486a95e75c23fdc3b005dfc2b5abb78abe10722e3df897e3eeeb0bcdd"},"schema_version":"1.0"},"canonical_sha256":"dbd326992ae9b54757a86f6cf5e404a2ba87b460376d7b0431bf7660adfe3639","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:06:00.237679Z","signature_b64":"b/p89bFpuYeRjbvKFQBu0csWv+vnZrRtUD89qiIbGiO/jN+i4aOxoDyi8QvzdgmkL6tVBt/4UZBfi57Fbq5VBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dbd326992ae9b54757a86f6cf5e404a2ba87b460376d7b0431bf7660adfe3639","last_reissued_at":"2026-05-18T00:06:00.236930Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:06:00.236930Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1809.03645","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":"2026-05-18T00:06:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"chRoPnObB2DXAKZuGbrEH3GqAN4M+aJCvBu/6/VNnP7TMQnSaB6d+rAKlOLvT5zc8PTsORdKn4FaYtaL3ULvAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T15:06:09.709013Z"},"content_sha256":"87b706d5f7daf7e7951ac774ca6190266880e97f33cd69eaea54f298b5abef7b","schema_version":"1.0","event_id":"sha256:87b706d5f7daf7e7951ac774ca6190266880e97f33cd69eaea54f298b5abef7b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:3PJSNGJK5G2UOV5IN5WPLZAEUK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Profile Likelihood Approach to Semiparametric Estimation with Nonignorable Nonresponse","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Hejian Sang, Kosuke Morikawa","submitted_at":"2018-09-11T00:59:53Z","abstract_excerpt":"Statistical inference with nonresponse is quite challenging, especially when the response mechanism is nonignorable. The existing methods often require correct model specifications for both outcome and response models. However, due to nonresponse, both models cannot be verified from data directly and model misspecification can lead to a seriously biased inference. To overcome this limitation, we develop a robust and efficient semiparametric method based on the profile likelihood. The proposed method uses the robust semiparametric response model, in which fully unspecified function of study var"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.03645","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":"2026-05-18T00:06:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KO8KDj17+KdxJmKG41kBFAUqv4zm8b3W6JNip+2HMt9sFGuKCTD7hWKu0CbPmR/V6eRXa2dSgrbctHHe7ktNCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T15:06:09.709379Z"},"content_sha256":"50769d274a5c94534149a7d9f64e2ebaf2414d420bdb1f0d415dcad44fe19899","schema_version":"1.0","event_id":"sha256:50769d274a5c94534149a7d9f64e2ebaf2414d420bdb1f0d415dcad44fe19899"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3PJSNGJK5G2UOV5IN5WPLZAEUK/bundle.json","state_url":"https://pith.science/pith/3PJSNGJK5G2UOV5IN5WPLZAEUK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3PJSNGJK5G2UOV5IN5WPLZAEUK/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":"2026-06-26T15:06:09Z","links":{"resolver":"https://pith.science/pith/3PJSNGJK5G2UOV5IN5WPLZAEUK","bundle":"https://pith.science/pith/3PJSNGJK5G2UOV5IN5WPLZAEUK/bundle.json","state":"https://pith.science/pith/3PJSNGJK5G2UOV5IN5WPLZAEUK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3PJSNGJK5G2UOV5IN5WPLZAEUK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:3PJSNGJK5G2UOV5IN5WPLZAEUK","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":"1846db8486a95e75c23fdc3b005dfc2b5abb78abe10722e3df897e3eeeb0bcdd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.ME","submitted_at":"2018-09-11T00:59:53Z","title_canon_sha256":"f308187e4cbc2d3dfc6e6979c3e76f702ff6a0863e5bfcc70fa06099f46b719d"},"schema_version":"1.0","source":{"id":"1809.03645","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.03645","created_at":"2026-05-18T00:06:00Z"},{"alias_kind":"arxiv_version","alias_value":"1809.03645v1","created_at":"2026-05-18T00:06:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.03645","created_at":"2026-05-18T00:06:00Z"},{"alias_kind":"pith_short_12","alias_value":"3PJSNGJK5G2U","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_16","alias_value":"3PJSNGJK5G2UOV5I","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_8","alias_value":"3PJSNGJK","created_at":"2026-05-18T12:32:02Z"}],"graph_snapshots":[{"event_id":"sha256:50769d274a5c94534149a7d9f64e2ebaf2414d420bdb1f0d415dcad44fe19899","target":"graph","created_at":"2026-05-18T00:06:00Z","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":"Statistical inference with nonresponse is quite challenging, especially when the response mechanism is nonignorable. The existing methods often require correct model specifications for both outcome and response models. However, due to nonresponse, both models cannot be verified from data directly and model misspecification can lead to a seriously biased inference. To overcome this limitation, we develop a robust and efficient semiparametric method based on the profile likelihood. The proposed method uses the robust semiparametric response model, in which fully unspecified function of study var","authors_text":"Hejian Sang, Kosuke Morikawa","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.ME","submitted_at":"2018-09-11T00:59:53Z","title":"A Profile Likelihood Approach to Semiparametric Estimation with Nonignorable Nonresponse"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.03645","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":"sha256:87b706d5f7daf7e7951ac774ca6190266880e97f33cd69eaea54f298b5abef7b","target":"record","created_at":"2026-05-18T00:06:00Z","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":"1846db8486a95e75c23fdc3b005dfc2b5abb78abe10722e3df897e3eeeb0bcdd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.ME","submitted_at":"2018-09-11T00:59:53Z","title_canon_sha256":"f308187e4cbc2d3dfc6e6979c3e76f702ff6a0863e5bfcc70fa06099f46b719d"},"schema_version":"1.0","source":{"id":"1809.03645","kind":"arxiv","version":1}},"canonical_sha256":"dbd326992ae9b54757a86f6cf5e404a2ba87b460376d7b0431bf7660adfe3639","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dbd326992ae9b54757a86f6cf5e404a2ba87b460376d7b0431bf7660adfe3639","first_computed_at":"2026-05-18T00:06:00.236930Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:06:00.236930Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"b/p89bFpuYeRjbvKFQBu0csWv+vnZrRtUD89qiIbGiO/jN+i4aOxoDyi8QvzdgmkL6tVBt/4UZBfi57Fbq5VBA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:06:00.237679Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.03645","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:87b706d5f7daf7e7951ac774ca6190266880e97f33cd69eaea54f298b5abef7b","sha256:50769d274a5c94534149a7d9f64e2ebaf2414d420bdb1f0d415dcad44fe19899"],"state_sha256":"15d6a19398a9c9f9ed021ed6b845bc26d8744f108f7f00f9eb6d8508a0e11e13"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4Ttcnl9CVXxIUv0s8pTaTrVGoNrMnmgYf3uKbGX+FwbKyVtdGq9+O2L+zpooePg5exOlWe95lrI+Deu+LRMlCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-26T15:06:09.711348Z","bundle_sha256":"84115085f83518bb9c005dc38e1acdd31535ce309318e0ce00e51ae1db04570e"}}