{
  "annotation_id": "aab64eef-2d2d-453f-bc4f-c8e6504c2a86",
  "date_created": "2026-03-02T18:01:21.620000Z",
  "date_modified": "2026-03-02T18:01:21.620000Z",
  "file_hash": "a000c84b0c1183e8fc6bc7e4f99a07bf7665de7469ba7a817f6fa731abc48e30",
  "private": false,
  "record": {
    "abstract": "BAYES-LIN is an extension of the LISP-STAT object-oriented statistical\ncomputing environment, which adds to LISP-STAT some object prototypes\nappropriate for carrying out local computation via message-passing between\nclique-tree nodes of Bayes linear belief networks. Currently the BAYES-LIN\nsystem represents a rather low-level set of tools for a back-end computational\nengine, together with diagnostic graphics for understanding the effects of\nadjustments on the moral graph. A GUI front end, allowing interactive\nformulation of DAG models could be easily added, but is currently missing from\nthe system. This document provides a very brief introduction to the system, by\nmeans of a work-through of two example computations, followed by a list of\nvariables, functions, objects and methods provided by the system.",
    "arxiv_id": "physics/9710015",
    "authors": [
      "Darren J Wilkinson"
    ],
    "categories": [
      "physics.data-an"
    ],
    "title": "BAYES-LIN: An object-oriented environment for Bayes linear local   computation",
    "url": "https://arxiv.org/abs/physics/9710015"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "0d100156-152f-4ae8-b837-1f87e6a72cb9",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}