{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:3MTPHVLHQFC6U6U4E3WREQUUD4","short_pith_number":"pith:3MTPHVLH","schema_version":"1.0","canonical_sha256":"db26f3d5678145ea7a9c26ed1242941f1c5e27bbbddbade2a46965ea0ef3b91d","source":{"kind":"arxiv","id":"1908.09112","version":2},"attestation_state":"computed","paper":{"title":"Disjunct Support Spike and Slab Priors for Variable Selection in Regression under Quasi-sparseness","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"stat.ME","authors_text":"Daniel Andrade, Kenji Fukumizu","submitted_at":"2019-08-24T09:23:59Z","abstract_excerpt":"Sparseness of the regression coefficient vector is often a desirable property, since, among other benefits, sparseness improves interpretability. In practice, many true regression coefficients might be negligibly small, but non-zero, which we refer to as quasi-sparseness. Spike-and-slab priors as introduced in (Chipman et al., 2001) can be tuned to ignore very small regression coefficients, and, as a consequence provide a trade-off between prediction accuracy and interpretability. However, spike-and-slab priors with full support lead to inconsistent Bayes factors, in the sense that the Bayes f"},"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":"1908.09112","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2019-08-24T09:23:59Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"bb85a82f3433f857dc94d2a6c64e49a7c01708ede9be4a04c3ef25a1f5c021ad","abstract_canon_sha256":"827b02854350444eb55152f3e104254aaea0664ff60fcb3afba9b6e45c22cd53"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:07:52.878605Z","signature_b64":"OyvUD/F1dGQUVukvqoFvU2/RnWHH4b8S0bdqR5pJADIHbCFzf6IKMD/jbhcee5ihEayJy4uFd0spS4bT4ae0Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"db26f3d5678145ea7a9c26ed1242941f1c5e27bbbddbade2a46965ea0ef3b91d","last_reissued_at":"2026-07-05T00:07:52.878199Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:07:52.878199Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Disjunct Support Spike and Slab Priors for Variable Selection in Regression under Quasi-sparseness","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"stat.ME","authors_text":"Daniel Andrade, Kenji Fukumizu","submitted_at":"2019-08-24T09:23:59Z","abstract_excerpt":"Sparseness of the regression coefficient vector is often a desirable property, since, among other benefits, sparseness improves interpretability. In practice, many true regression coefficients might be negligibly small, but non-zero, which we refer to as quasi-sparseness. Spike-and-slab priors as introduced in (Chipman et al., 2001) can be tuned to ignore very small regression coefficients, and, as a consequence provide a trade-off between prediction accuracy and interpretability. However, spike-and-slab priors with full support lead to inconsistent Bayes factors, in the sense that the Bayes f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.09112","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1908.09112/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"1908.09112","created_at":"2026-07-05T00:07:52.878256+00:00"},{"alias_kind":"arxiv_version","alias_value":"1908.09112v2","created_at":"2026-07-05T00:07:52.878256+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.09112","created_at":"2026-07-05T00:07:52.878256+00:00"},{"alias_kind":"pith_short_12","alias_value":"3MTPHVLHQFC6","created_at":"2026-07-05T00:07:52.878256+00:00"},{"alias_kind":"pith_short_16","alias_value":"3MTPHVLHQFC6U6U4","created_at":"2026-07-05T00:07:52.878256+00:00"},{"alias_kind":"pith_short_8","alias_value":"3MTPHVLH","created_at":"2026-07-05T00:07:52.878256+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/3MTPHVLHQFC6U6U4E3WREQUUD4","json":"https://pith.science/pith/3MTPHVLHQFC6U6U4E3WREQUUD4.json","graph_json":"https://pith.science/api/pith-number/3MTPHVLHQFC6U6U4E3WREQUUD4/graph.json","events_json":"https://pith.science/api/pith-number/3MTPHVLHQFC6U6U4E3WREQUUD4/events.json","paper":"https://pith.science/paper/3MTPHVLH"},"agent_actions":{"view_html":"https://pith.science/pith/3MTPHVLHQFC6U6U4E3WREQUUD4","download_json":"https://pith.science/pith/3MTPHVLHQFC6U6U4E3WREQUUD4.json","view_paper":"https://pith.science/paper/3MTPHVLH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1908.09112&json=true","fetch_graph":"https://pith.science/api/pith-number/3MTPHVLHQFC6U6U4E3WREQUUD4/graph.json","fetch_events":"https://pith.science/api/pith-number/3MTPHVLHQFC6U6U4E3WREQUUD4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3MTPHVLHQFC6U6U4E3WREQUUD4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3MTPHVLHQFC6U6U4E3WREQUUD4/action/storage_attestation","attest_author":"https://pith.science/pith/3MTPHVLHQFC6U6U4E3WREQUUD4/action/author_attestation","sign_citation":"https://pith.science/pith/3MTPHVLHQFC6U6U4E3WREQUUD4/action/citation_signature","submit_replication":"https://pith.science/pith/3MTPHVLHQFC6U6U4E3WREQUUD4/action/replication_record"}},"created_at":"2026-07-05T00:07:52.878256+00:00","updated_at":"2026-07-05T00:07:52.878256+00:00"}