{
  "annotation_id": "ddf066a7-aad5-4eb8-b3a3-a755b4acc8d8",
  "date_created": "2026-03-02T18:00:43.203000Z",
  "date_modified": "2026-03-02T18:00:43.203000Z",
  "file_hash": "2ad2f53f2eeb403ea1549823fc94619981d6b8aa484d1f8b4d2bbded83894d35",
  "private": false,
  "record": {
    "abstract": "During the MaxEnt 2002 workshop in Moscow, Idaho, Tony Vignaux asked again a\nfew simple questions about using Maximum Entropy or Bayesian approaches for the\nfamous Dice problems which have been analyzed many times through this workshop\nand also in other places. Here, there is another analysis of these problems. I\nhope that, this paper will answer a few questions of Tony and other\nparticipants of the workshop on the situations where we can use Maximum Entropy\nor Bayesian approaches or even the cases where we can actually use both of\nthem.\n  Keywords: Dice problems and probability theory, Maximum Likelihood, Bayesian\ninference, Maximum A Posteriori, Entropy, Maximum entropy, Maximum entropy in\nthe mean.",
    "arxiv_id": "physics/0211049",
    "authors": [
      "Ali Mohammad-Djafari"
    ],
    "categories": [
      "physics.data-an"
    ],
    "doi": "10.1063/1.1570548",
    "title": "Yet Another Analysis of Dice Problems",
    "url": "https://arxiv.org/abs/physics/0211049"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "ed0a2291-ff09-4956-ac8d-89da695f59dc",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}