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Bayesiansk Multipel Korrespondensanalyse (BMCA)

Bayesiansk Multipel Korrespondensanalyse (BMCA) udvider klassisk MCA ved at indlejre den geometriske dekomposition af kategoriske datatabeller i et bayesiansk probabilistisk rammeværk, hvilket muliggør principiel usikkerhedskvantificering omkring kategorikoordinater, dimensionsvalg via marginal sandsynlighed og inkorporering af forhåndsviden om variabelrelationer.

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Kilder

  1. Greenacre, M. & Blasius, J. (Eds.) (2006). Multiple Correspondence Analysis and Related Methods. Chapman & Hall/CRC. ISBN: 978-1584886280
  2. Delattre, M., Lavielle, M. & Poursat, M.-A. (2014). A note on BIC in mixed-effects models. Electronic Journal of Statistics, 8(1), 456–475. DOI: 10.1214/14-EJS890

Sådan citerer du denne side

ScholarGate. (2026, June 3). Bayesian Multiple Correspondence Analysis. ScholarGate. https://scholargate.app/da/statistics/bayesian-multiple-correspondence-analysis

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ScholarGateBayesian Multiple Correspondence Analysis (Bayesian Multiple Correspondence Analysis). Hentet 2026-06-15 fra https://scholargate.app/da/statistics/bayesian-multiple-correspondence-analysis · Datasæt: https://doi.org/10.5281/zenodo.20539026