{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:XP6FD7NLOUWTZIQ5X4EEK7TO4M","short_pith_number":"pith:XP6FD7NL","schema_version":"1.0","canonical_sha256":"bbfc51fdab752d3ca21dbf08457e6ee33e8f778661d54d81f8c0b69b2fe5e43c","source":{"kind":"arxiv","id":"1804.09329","version":2},"attestation_state":"computed","paper":{"title":"Jointly Robust Prior for Gaussian Stochastic Process in Emulation, Calibration and Variable Selection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Mengyang Gu","submitted_at":"2018-04-25T02:56:37Z","abstract_excerpt":"Gaussian stochastic process (GaSP) has been widely used in two fundamental problems in uncertainty quantification, namely the emulation and calibration of mathematical models. Some objective priors, such as the reference prior, are studied in the context of emulating (approximating) computationally expensive mathematical models. In this work, we introduce a new class of priors, called the jointly robust prior, for both the emulation and calibration. This prior is designed to maintain various advantages from the reference prior. In emulation, the jointly robust prior has an appropriate tail dec"},"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":"1804.09329","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-04-25T02:56:37Z","cross_cats_sorted":[],"title_canon_sha256":"57ecf06a0e0494b1c3a1cb9ccba03a6fd5e4f95317cd79c2c25328dab92bb7cd","abstract_canon_sha256":"050d8e98fdd25fdd43902bf498a9864b98c5e57a9ee9fad254ac23f68324027a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:06:16.062873Z","signature_b64":"lVlkd8HHU6MXM3YYo4bj9zt9ZWsdnw3rrT1/k4cqW3V2I4Q4wXjvBVX5PzEJ6FgvyiCiKVORzl0lU7pc6fVRBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bbfc51fdab752d3ca21dbf08457e6ee33e8f778661d54d81f8c0b69b2fe5e43c","last_reissued_at":"2026-05-18T00:06:16.062245Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:06:16.062245Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Jointly Robust Prior for Gaussian Stochastic Process in Emulation, Calibration and Variable Selection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Mengyang Gu","submitted_at":"2018-04-25T02:56:37Z","abstract_excerpt":"Gaussian stochastic process (GaSP) has been widely used in two fundamental problems in uncertainty quantification, namely the emulation and calibration of mathematical models. Some objective priors, such as the reference prior, are studied in the context of emulating (approximating) computationally expensive mathematical models. In this work, we introduce a new class of priors, called the jointly robust prior, for both the emulation and calibration. This prior is designed to maintain various advantages from the reference prior. In emulation, the jointly robust prior has an appropriate tail dec"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.09329","kind":"arxiv","version":2},"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":"1804.09329","created_at":"2026-05-18T00:06:16.062350+00:00"},{"alias_kind":"arxiv_version","alias_value":"1804.09329v2","created_at":"2026-05-18T00:06:16.062350+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.09329","created_at":"2026-05-18T00:06:16.062350+00:00"},{"alias_kind":"pith_short_12","alias_value":"XP6FD7NLOUWT","created_at":"2026-05-18T12:33:01.666342+00:00"},{"alias_kind":"pith_short_16","alias_value":"XP6FD7NLOUWTZIQ5","created_at":"2026-05-18T12:33:01.666342+00:00"},{"alias_kind":"pith_short_8","alias_value":"XP6FD7NL","created_at":"2026-05-18T12:33:01.666342+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/XP6FD7NLOUWTZIQ5X4EEK7TO4M","json":"https://pith.science/pith/XP6FD7NLOUWTZIQ5X4EEK7TO4M.json","graph_json":"https://pith.science/api/pith-number/XP6FD7NLOUWTZIQ5X4EEK7TO4M/graph.json","events_json":"https://pith.science/api/pith-number/XP6FD7NLOUWTZIQ5X4EEK7TO4M/events.json","paper":"https://pith.science/paper/XP6FD7NL"},"agent_actions":{"view_html":"https://pith.science/pith/XP6FD7NLOUWTZIQ5X4EEK7TO4M","download_json":"https://pith.science/pith/XP6FD7NLOUWTZIQ5X4EEK7TO4M.json","view_paper":"https://pith.science/paper/XP6FD7NL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1804.09329&json=true","fetch_graph":"https://pith.science/api/pith-number/XP6FD7NLOUWTZIQ5X4EEK7TO4M/graph.json","fetch_events":"https://pith.science/api/pith-number/XP6FD7NLOUWTZIQ5X4EEK7TO4M/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XP6FD7NLOUWTZIQ5X4EEK7TO4M/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XP6FD7NLOUWTZIQ5X4EEK7TO4M/action/storage_attestation","attest_author":"https://pith.science/pith/XP6FD7NLOUWTZIQ5X4EEK7TO4M/action/author_attestation","sign_citation":"https://pith.science/pith/XP6FD7NLOUWTZIQ5X4EEK7TO4M/action/citation_signature","submit_replication":"https://pith.science/pith/XP6FD7NLOUWTZIQ5X4EEK7TO4M/action/replication_record"}},"created_at":"2026-05-18T00:06:16.062350+00:00","updated_at":"2026-05-18T00:06:16.062350+00:00"}