{
  "annotation_id": "c77a567c-3a6c-4782-926c-6619bc71a22c",
  "date_created": "2026-03-02T18:00:53.783000Z",
  "date_modified": "2026-03-02T18:00:53.783000Z",
  "file_hash": "d9eb0e5975c7e6075a75f8d6958849621492e21683d23ff842b13650e80abf15",
  "private": false,
  "record": {
    "abstract": "We address the common problem of calculating intervals in the presence of\nsystematic uncertainties. We aim to investigate several approaches, but here\ndescribe just a Bayesian technique for setting upper limits. The particular\nexample we study is that of inferring the rate of a Poisson process when there\nare uncertainties on the acceptance and the background. Limit calculating\nsoftware associated with this work is available in the form of C functions.",
    "arxiv_id": "physics/0409129",
    "authors": [
      "Joel Heinrich",
      "Craig Blocker",
      "John Conway",
      "Luc Demortier",
      "Louis Lyons",
      "Giovanni Punzi",
      "Pekka K. Sinervo"
    ],
    "categories": [
      "physics.data-an"
    ],
    "title": "Interval estimation in the presence of nuisance parameters. 1. Bayesian   approach",
    "url": "https://arxiv.org/abs/physics/0409129"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "efef0e8d-3f2c-4e07-915f-328acc22c5de",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}