{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:AEN4SHWG5SH3L3XUEZ74RJP5DI","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"1ea05a3db176493c2425bf18242b0a7ec38b2ac3e55ed5585a15afd7899bd18d","cross_cats_sorted":["stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2016-04-24T13:20:23Z","title_canon_sha256":"770cbb26749a55779f940aebd3293c0d71a0b8690814c9b0896d8602b7d3f90b"},"schema_version":"1.0","source":{"id":"1604.07027","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1604.07027","created_at":"2026-05-18T01:07:53Z"},{"alias_kind":"arxiv_version","alias_value":"1604.07027v2","created_at":"2026-05-18T01:07:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1604.07027","created_at":"2026-05-18T01:07:53Z"},{"alias_kind":"pith_short_12","alias_value":"AEN4SHWG5SH3","created_at":"2026-05-18T12:30:07Z"},{"alias_kind":"pith_short_16","alias_value":"AEN4SHWG5SH3L3XU","created_at":"2026-05-18T12:30:07Z"},{"alias_kind":"pith_short_8","alias_value":"AEN4SHWG","created_at":"2026-05-18T12:30:07Z"}],"graph_snapshots":[{"event_id":"sha256:65eca1d60e0867a481889ba02cdd231661e5ae2cf88f00806a7850c6eccceb44","target":"graph","created_at":"2026-05-18T01:07:53Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"In many applications involving spatial point patterns, we find evidence of inhibition or repulsion. The most commonly used class of models for such settings are the Gibbs point processes. A recent alternative, at least to the statistical community, is the determinantal point process. Here, we examine model fitting and inference for both of these classes of processes in a Bayesian framework. While usual MCMC model fitting can be available, the algorithms are complex and are not always well behaved. We propose using approximate Bayesian computation (ABC) for such fitting. This approach becomes a","authors_text":"Alan. E. Gelfand, Shinichiro Shirota","cross_cats":["stat.ME"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2016-04-24T13:20:23Z","title":"Approximate Bayesian Computation and Model Validation for Repulsive Spatial Point Processes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1604.07027","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:22a429bdcc77aa14fe3876056291145ae192b05f37899b7a2601157615577be9","target":"record","created_at":"2026-05-18T01:07:53Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"1ea05a3db176493c2425bf18242b0a7ec38b2ac3e55ed5585a15afd7899bd18d","cross_cats_sorted":["stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2016-04-24T13:20:23Z","title_canon_sha256":"770cbb26749a55779f940aebd3293c0d71a0b8690814c9b0896d8602b7d3f90b"},"schema_version":"1.0","source":{"id":"1604.07027","kind":"arxiv","version":2}},"canonical_sha256":"011bc91ec6ec8fb5eef4267fc8a5fd1a3db79d1a03004d33a31ceaba73e99ee7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"011bc91ec6ec8fb5eef4267fc8a5fd1a3db79d1a03004d33a31ceaba73e99ee7","first_computed_at":"2026-05-18T01:07:53.731716Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:07:53.731716Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"clctN9UfhZ3ZUQpJKg/fwPyR0gpOL9M6Wgn177nLWD5QtnolKF7I2xr7aLFLH4TFazaDskcZGldMXVHkfJsTDA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:07:53.732152Z","signed_message":"canonical_sha256_bytes"},"source_id":"1604.07027","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:22a429bdcc77aa14fe3876056291145ae192b05f37899b7a2601157615577be9","sha256:65eca1d60e0867a481889ba02cdd231661e5ae2cf88f00806a7850c6eccceb44"],"state_sha256":"3653bb05e36827a37d61d835c14b095ffeec31a2812ea6b929914e6b27cdada6"}