{
  "annotation_id": "e992d2a6-629f-4a5e-b233-f3c90f9b7fc1",
  "date_created": "2026-03-02T18:00:39.880000Z",
  "date_modified": "2026-03-02T18:00:39.880000Z",
  "file_hash": "a927309c4c090aaa1bae5871c02902c6912c10e64276d27143e8884b3e611994",
  "private": false,
  "record": {
    "abstract": "Although the likelihood function is normalizeable with respect to the data\nthere is no guarantee that the same holds with respect to the model parameters.\nThis may lead to singularities in the expectation value integral of these\nparameters, especially if the prior information is not sufficient to take care\nof finite integral values. However, the problem may be solved by obeying the\ncorrect Riemannian metric imposed by the likelihood. This will be demonstrated\nfor the example of the electron temperature evaluation in hydrogen plasmas.",
    "arxiv_id": "physics/0207125",
    "authors": [
      "R. Preuss",
      "V. Dose"
    ],
    "categories": [
      "physics.data-an",
      "physics.plasm-ph"
    ],
    "title": "Marginalization using the metric of the likelihood",
    "url": "https://arxiv.org/abs/physics/0207125"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "da8d7436-b3da-4fc2-b9a0-5d71d49d315c",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}