{
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  "path": "/t/time-series-a-powerful-method-to-analyze-non-linear-patterns-even-in-very-small-data/14650#post_15",
  "publishedAt": "2026-05-11T21:00:25.000Z",
  "site": "https://discourse.datamethods.org",
  "tags": [
    "SpringerLink",
    "Combinatorial time-loops: probabilistic inference on time-series based on...",
    "The European Physical Journal"
  ],
  "textContent": "Update:\n\nSpringerLink\n\n### Combinatorial time-loops: probabilistic inference on time-series based on...\n\nRecurrence quantification analysis (RQA) is inspired by Poincaré’s early studies and describes non-linear characteristics of dynamical systems. It achieves this by identifying similarities between states, pairing each observation with every other....\n\nThe white-paper outlining this framework was developed and published in an issue of the * The European Physical Journal\n\nIt is a nice approach for time-series in which one cannot rely on asymptotic assumptions and want to use exact methods.",
  "title": "Time-series - A powerful method to analyze non-linear patterns, even in very small data"
}