{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:BJ4UY43XHLXIIWMOCRTPXZHAYX","short_pith_number":"pith:BJ4UY43X","schema_version":"1.0","canonical_sha256":"0a794c73773aee84598e1466fbe4e0c5d76cc7e2aa37686e2f1d4865ba1c0863","source":{"kind":"arxiv","id":"1505.08113","version":2},"attestation_state":"computed","paper":{"title":"A tractable, parsimonious and flexible model for cylindrical data, with applications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Christophe Ley, Toshihiro Abe","submitted_at":"2015-05-29T17:01:29Z","abstract_excerpt":"In this paper, we propose cylindrical distributions obtained by combining the sine-skewed von Mises distribution (circular part) with the Weibull distribution (linear part). This new model, the WeiSSVM, enjoys numerous advantages: simple normalizing constant and hence very tractable density, parameter-parsimony and interpretability, good circular-linear dependence structure, easy random number generation thanks to known marginal/conditional distributions, flexibility illustrated via excellent fitting abilities, and a straightforward extension to the case of directional-linear data. Inferential"},"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":"1505.08113","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-05-29T17:01:29Z","cross_cats_sorted":[],"title_canon_sha256":"c5b3747f73d63409deb42355be5db82695cf20ebc4e4b199b789941ae4b2d7ac","abstract_canon_sha256":"8247ba87b2d2c12cee0bf0b9553cf8656c6134d538a15bcf6ff989f93ad3dd80"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:23:33.540429Z","signature_b64":"GzTvH8XL6pqAb3vfNbfZ38pG5aAPJroAijGgHKnEQYZuqbpfLW46Qo0jfmPWvPBkmxBiSKSu5bCTU9Ksx0GiBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0a794c73773aee84598e1466fbe4e0c5d76cc7e2aa37686e2f1d4865ba1c0863","last_reissued_at":"2026-05-18T01:23:33.539747Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:23:33.539747Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A tractable, parsimonious and flexible model for cylindrical data, with applications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Christophe Ley, Toshihiro Abe","submitted_at":"2015-05-29T17:01:29Z","abstract_excerpt":"In this paper, we propose cylindrical distributions obtained by combining the sine-skewed von Mises distribution (circular part) with the Weibull distribution (linear part). This new model, the WeiSSVM, enjoys numerous advantages: simple normalizing constant and hence very tractable density, parameter-parsimony and interpretability, good circular-linear dependence structure, easy random number generation thanks to known marginal/conditional distributions, flexibility illustrated via excellent fitting abilities, and a straightforward extension to the case of directional-linear data. Inferential"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1505.08113","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":"1505.08113","created_at":"2026-05-18T01:23:33.539860+00:00"},{"alias_kind":"arxiv_version","alias_value":"1505.08113v2","created_at":"2026-05-18T01:23:33.539860+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1505.08113","created_at":"2026-05-18T01:23:33.539860+00:00"},{"alias_kind":"pith_short_12","alias_value":"BJ4UY43XHLXI","created_at":"2026-05-18T12:29:14.074870+00:00"},{"alias_kind":"pith_short_16","alias_value":"BJ4UY43XHLXIIWMO","created_at":"2026-05-18T12:29:14.074870+00:00"},{"alias_kind":"pith_short_8","alias_value":"BJ4UY43X","created_at":"2026-05-18T12:29:14.074870+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/BJ4UY43XHLXIIWMOCRTPXZHAYX","json":"https://pith.science/pith/BJ4UY43XHLXIIWMOCRTPXZHAYX.json","graph_json":"https://pith.science/api/pith-number/BJ4UY43XHLXIIWMOCRTPXZHAYX/graph.json","events_json":"https://pith.science/api/pith-number/BJ4UY43XHLXIIWMOCRTPXZHAYX/events.json","paper":"https://pith.science/paper/BJ4UY43X"},"agent_actions":{"view_html":"https://pith.science/pith/BJ4UY43XHLXIIWMOCRTPXZHAYX","download_json":"https://pith.science/pith/BJ4UY43XHLXIIWMOCRTPXZHAYX.json","view_paper":"https://pith.science/paper/BJ4UY43X","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1505.08113&json=true","fetch_graph":"https://pith.science/api/pith-number/BJ4UY43XHLXIIWMOCRTPXZHAYX/graph.json","fetch_events":"https://pith.science/api/pith-number/BJ4UY43XHLXIIWMOCRTPXZHAYX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BJ4UY43XHLXIIWMOCRTPXZHAYX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BJ4UY43XHLXIIWMOCRTPXZHAYX/action/storage_attestation","attest_author":"https://pith.science/pith/BJ4UY43XHLXIIWMOCRTPXZHAYX/action/author_attestation","sign_citation":"https://pith.science/pith/BJ4UY43XHLXIIWMOCRTPXZHAYX/action/citation_signature","submit_replication":"https://pith.science/pith/BJ4UY43XHLXIIWMOCRTPXZHAYX/action/replication_record"}},"created_at":"2026-05-18T01:23:33.539860+00:00","updated_at":"2026-05-18T01:23:33.539860+00:00"}