{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:73RWQ2F4EAF5EGCQP4YDSCBH37","short_pith_number":"pith:73RWQ2F4","schema_version":"1.0","canonical_sha256":"fee36868bc200bd218507f30390827dff42d4dc108fcc5b9e7cc7eb9c5e8575d","source":{"kind":"arxiv","id":"1708.09824","version":1},"attestation_state":"computed","paper":{"title":"On the Bayesian calibration of expensive computer models with input dependent parameters","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Bledar A. Konomi, Georgios Karagiannis, Guang Lin","submitted_at":"2017-08-31T17:19:00Z","abstract_excerpt":"Computer models, aiming at simulating a complex real system, are often calibrated in the light of data to improve performance. Standard calibration methods assume that the optimal values of calibration parameters are invariant to the model inputs. In several real world applications where models involve complex parametrizations whose optimal values depend on the model inputs, such an assumption can be too restrictive and may lead to misleading results. We propose a fully Bayesian methodology that produces input dependent optimal values for the calibration parameters, as well as it characterizes"},"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":"1708.09824","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-08-31T17:19:00Z","cross_cats_sorted":[],"title_canon_sha256":"fd964e40a9a202e9758b418a69d7a618efff61f934787f624a7566d85d5a283f","abstract_canon_sha256":"c5f1be56775f3a3ccc394d5b216646a90509b4a3d96c9b3de5decb8828e03d94"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:36:14.971016Z","signature_b64":"tshyJDdzTLq1+51cwXzLxoJIzr/HEmFHk5rxtyeqqzWeyRlqsyUDJR4LmPIF/hyknP9Rs1gOPYJKWlEOIQrjCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fee36868bc200bd218507f30390827dff42d4dc108fcc5b9e7cc7eb9c5e8575d","last_reissued_at":"2026-05-18T00:36:14.970364Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:36:14.970364Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"On the Bayesian calibration of expensive computer models with input dependent parameters","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Bledar A. Konomi, Georgios Karagiannis, Guang Lin","submitted_at":"2017-08-31T17:19:00Z","abstract_excerpt":"Computer models, aiming at simulating a complex real system, are often calibrated in the light of data to improve performance. Standard calibration methods assume that the optimal values of calibration parameters are invariant to the model inputs. In several real world applications where models involve complex parametrizations whose optimal values depend on the model inputs, such an assumption can be too restrictive and may lead to misleading results. We propose a fully Bayesian methodology that produces input dependent optimal values for the calibration parameters, as well as it characterizes"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.09824","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":"1708.09824","created_at":"2026-05-18T00:36:14.970473+00:00"},{"alias_kind":"arxiv_version","alias_value":"1708.09824v1","created_at":"2026-05-18T00:36:14.970473+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.09824","created_at":"2026-05-18T00:36:14.970473+00:00"},{"alias_kind":"pith_short_12","alias_value":"73RWQ2F4EAF5","created_at":"2026-05-18T12:31:03.183658+00:00"},{"alias_kind":"pith_short_16","alias_value":"73RWQ2F4EAF5EGCQ","created_at":"2026-05-18T12:31:03.183658+00:00"},{"alias_kind":"pith_short_8","alias_value":"73RWQ2F4","created_at":"2026-05-18T12:31:03.183658+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/73RWQ2F4EAF5EGCQP4YDSCBH37","json":"https://pith.science/pith/73RWQ2F4EAF5EGCQP4YDSCBH37.json","graph_json":"https://pith.science/api/pith-number/73RWQ2F4EAF5EGCQP4YDSCBH37/graph.json","events_json":"https://pith.science/api/pith-number/73RWQ2F4EAF5EGCQP4YDSCBH37/events.json","paper":"https://pith.science/paper/73RWQ2F4"},"agent_actions":{"view_html":"https://pith.science/pith/73RWQ2F4EAF5EGCQP4YDSCBH37","download_json":"https://pith.science/pith/73RWQ2F4EAF5EGCQP4YDSCBH37.json","view_paper":"https://pith.science/paper/73RWQ2F4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1708.09824&json=true","fetch_graph":"https://pith.science/api/pith-number/73RWQ2F4EAF5EGCQP4YDSCBH37/graph.json","fetch_events":"https://pith.science/api/pith-number/73RWQ2F4EAF5EGCQP4YDSCBH37/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/73RWQ2F4EAF5EGCQP4YDSCBH37/action/timestamp_anchor","attest_storage":"https://pith.science/pith/73RWQ2F4EAF5EGCQP4YDSCBH37/action/storage_attestation","attest_author":"https://pith.science/pith/73RWQ2F4EAF5EGCQP4YDSCBH37/action/author_attestation","sign_citation":"https://pith.science/pith/73RWQ2F4EAF5EGCQP4YDSCBH37/action/citation_signature","submit_replication":"https://pith.science/pith/73RWQ2F4EAF5EGCQP4YDSCBH37/action/replication_record"}},"created_at":"2026-05-18T00:36:14.970473+00:00","updated_at":"2026-05-18T00:36:14.970473+00:00"}