{
  "annotation_id": "52ecb11d-ff32-48fc-a93a-4c35d07eed03",
  "date_created": "2026-03-02T18:01:13.605000Z",
  "date_modified": "2026-03-02T18:01:13.605000Z",
  "file_hash": "ea3a0dc187cd1b1ea20910fc59b1fc84ea8b90a70fc8cc8ea7ccfcd92f894e4b",
  "private": false,
  "record": {
    "abstract": "We propose a new data analyzing scheme, the method of minimum entropy\nanalysis (MEA), in this paper. New MEA provides a quantitative criterion to\nselect relevant variables for modeling the physical system interested. Such\nmethod can be easily extended to various geophysical/geological data analysis,\nwhere many relevant or irrelevant available measurements may obscure the\nunderstanding of the highly complicated physical system like the triggering of\ndebris-flows. After demonstrating and testing the MEA method, we apply this\nmethod to a dataset of debris-flow occurrences in Taiwan and successfully find\nout three relevant variables, i.e. the hydrological form factor, numbers and\nareas of landslides, to the triggering of observed debris-flow events due to\nthe 1996 Typhoon Herb.",
    "arxiv_id": "physics/0609252",
    "authors": [
      "Chien-chih Chen",
      "Chih-Yuan Tseng",
      "Jia-Jyun Dong"
    ],
    "categories": [
      "physics.data-an",
      "physics.geo-ph"
    ],
    "doi": "10.1016/j.enggeo.2007.06.004",
    "journal_ref": "Engineering Geology 94, 19 (2007)",
    "title": "Variable selection based on entropic criterion and its application to   the debris-flow triggering",
    "url": "https://arxiv.org/abs/physics/0609252"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "56369fac-defb-43e0-9442-c1b6dff5c7a8",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}