{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:T2VUNB5QEOO3VMXE2S5J3I5P3W","short_pith_number":"pith:T2VUNB5Q","schema_version":"1.0","canonical_sha256":"9eab4687b0239dbab2e4d4ba9da3afdd9681049dc8324383a497c3d0b6cae86a","source":{"kind":"arxiv","id":"1505.03372","version":1},"attestation_state":"computed","paper":{"title":"Bayesian Indirect Inference Using a Parametric Auxiliary Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Anthony Lee, Anthony N. Pettitt, Christopher C. Drovandi","submitted_at":"2015-05-13T13:15:54Z","abstract_excerpt":"Indirect inference (II) is a methodology for estimating the parameters of an intractable (generative) model on the basis of an alternative parametric (auxiliary) model that is both analytically and computationally easier to deal with. Such an approach has been well explored in the classical literature but has received substantially less attention in the Bayesian paradigm. The purpose of this paper is to compare and contrast a collection of what we call parametric Bayesian indirect inference (pBII) methods. One class of pBII methods uses approximate Bayesian computation (referred to here as ABC"},"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":"1505.03372","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-05-13T13:15:54Z","cross_cats_sorted":[],"title_canon_sha256":"06db904e13b91bef79b6c1463739c83f04dcc712fff270a09c53b0dac79b1cc6","abstract_canon_sha256":"533c838faa637b8b9ee9bd051c1ab39d182053f891ec67f74e3fbc30f5ccd93d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:12:09.383733Z","signature_b64":"AJDsmEZBzK/+FJs62ukJghDbxcD0HYATpqk58QZqzdNNYVmP+twM/PoHcdcXXCj+0RsGltpLlcoSKPdccClvAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9eab4687b0239dbab2e4d4ba9da3afdd9681049dc8324383a497c3d0b6cae86a","last_reissued_at":"2026-05-18T02:12:09.383053Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:12:09.383053Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Bayesian Indirect Inference Using a Parametric Auxiliary Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Anthony Lee, Anthony N. Pettitt, Christopher C. Drovandi","submitted_at":"2015-05-13T13:15:54Z","abstract_excerpt":"Indirect inference (II) is a methodology for estimating the parameters of an intractable (generative) model on the basis of an alternative parametric (auxiliary) model that is both analytically and computationally easier to deal with. Such an approach has been well explored in the classical literature but has received substantially less attention in the Bayesian paradigm. The purpose of this paper is to compare and contrast a collection of what we call parametric Bayesian indirect inference (pBII) methods. One class of pBII methods uses approximate Bayesian computation (referred to here as ABC"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1505.03372","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":"1505.03372","created_at":"2026-05-18T02:12:09.383155+00:00"},{"alias_kind":"arxiv_version","alias_value":"1505.03372v1","created_at":"2026-05-18T02:12:09.383155+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1505.03372","created_at":"2026-05-18T02:12:09.383155+00:00"},{"alias_kind":"pith_short_12","alias_value":"T2VUNB5QEOO3","created_at":"2026-05-18T12:29:42.218222+00:00"},{"alias_kind":"pith_short_16","alias_value":"T2VUNB5QEOO3VMXE","created_at":"2026-05-18T12:29:42.218222+00:00"},{"alias_kind":"pith_short_8","alias_value":"T2VUNB5Q","created_at":"2026-05-18T12:29:42.218222+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/T2VUNB5QEOO3VMXE2S5J3I5P3W","json":"https://pith.science/pith/T2VUNB5QEOO3VMXE2S5J3I5P3W.json","graph_json":"https://pith.science/api/pith-number/T2VUNB5QEOO3VMXE2S5J3I5P3W/graph.json","events_json":"https://pith.science/api/pith-number/T2VUNB5QEOO3VMXE2S5J3I5P3W/events.json","paper":"https://pith.science/paper/T2VUNB5Q"},"agent_actions":{"view_html":"https://pith.science/pith/T2VUNB5QEOO3VMXE2S5J3I5P3W","download_json":"https://pith.science/pith/T2VUNB5QEOO3VMXE2S5J3I5P3W.json","view_paper":"https://pith.science/paper/T2VUNB5Q","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1505.03372&json=true","fetch_graph":"https://pith.science/api/pith-number/T2VUNB5QEOO3VMXE2S5J3I5P3W/graph.json","fetch_events":"https://pith.science/api/pith-number/T2VUNB5QEOO3VMXE2S5J3I5P3W/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/T2VUNB5QEOO3VMXE2S5J3I5P3W/action/timestamp_anchor","attest_storage":"https://pith.science/pith/T2VUNB5QEOO3VMXE2S5J3I5P3W/action/storage_attestation","attest_author":"https://pith.science/pith/T2VUNB5QEOO3VMXE2S5J3I5P3W/action/author_attestation","sign_citation":"https://pith.science/pith/T2VUNB5QEOO3VMXE2S5J3I5P3W/action/citation_signature","submit_replication":"https://pith.science/pith/T2VUNB5QEOO3VMXE2S5J3I5P3W/action/replication_record"}},"created_at":"2026-05-18T02:12:09.383155+00:00","updated_at":"2026-05-18T02:12:09.383155+00:00"}