{
  "annotation_id": "e785d09c-24b4-4b95-b666-63fee23efe3e",
  "date_created": "2026-03-02T18:00:49.904000Z",
  "date_modified": "2026-03-02T18:00:49.904000Z",
  "file_hash": "bd8c6557d4752f6b8f5055d06297803d094716756aea54aa24763d7b556e7ca4",
  "private": false,
  "record": {
    "abstract": "A new method of inferencing of coupled stochastic nonlinear oscillators is\ndescribed. The technique does not require extensive global optimization,\nprovides optimal compensation for noise-induced errors and is robust in a broad\nrange of dynamical models. We illustrate the main ideas of the technique by\ninferencing a model of five globally and locally coupled noisy oscillators.\nSpecific modifications of the technique for inferencing hidden degrees of\nfreedom of coupled nonlinear oscillators is discussed in the context of\nphysiological applications.",
    "arxiv_id": "physics/0403121",
    "authors": [
      "Vadim N. Smelyanskiy",
      "Dmitry G. Luchinsky"
    ],
    "categories": [
      "physics.data-an",
      "physics.comp-ph"
    ],
    "doi": "10.1117/12.546875",
    "title": "Inference of stochastic nonlinear oscillators with applications to   physiological problems",
    "url": "https://arxiv.org/abs/physics/0403121"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "349d3f29-3c99-46ef-8c61-c01cb134d5b4",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}