{
  "annotation_id": "082d6997-738d-4dd9-bd42-9b1090a2f4e2",
  "date_created": "2026-03-02T18:01:04.163000Z",
  "date_modified": "2026-03-02T18:01:04.163000Z",
  "file_hash": "197b9c4036a856ee1ba236aba5e7372fbd45b0b0a37ae5f72b790240c81d7478",
  "private": false,
  "record": {
    "abstract": "We discuss some issues arising in the evaluation of confidence intervals in\nthe presence of nuisance parameters (systematic uncertainties) by means of\ndirect Neyman construction in multi-dimensional space. While this kind of\nprocedure provides rigorous coverage, it may be affected by large overcoverage,\nand/or produce results with counterintuitive behavior with respect to the\nuncertainty on the nuisance parameters, or other undesirable properties. We\ndescribe a choice of ordering algorithm that provides results with good general\nproperties, the correct behavior for small uncertainties, and limited\novercoverage.",
    "arxiv_id": "physics/0511202",
    "authors": [
      "Giovanni Punzi"
    ],
    "categories": [
      "physics.data-an",
      "hep-ex"
    ],
    "doi": "10.1142/9781860948985_0019",
    "title": "Ordering Algorithms and Confidence Intervals in the Presence of Nuisance   Parameters",
    "url": "https://arxiv.org/abs/physics/0511202"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "f9490499-7abb-4743-84a7-61cef3323e71",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}