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Bayesova višestruka korespondentna analiza (BMCA)

Bayesova višestruka korespondentna analiza proširuje klasičnu višestruku korespondentnu analizu (MCA) ugradnjom geometrijske dekompozicije tablica kategoričkih podataka unutar Bayesovog probabilističkog okvira, omogućujući principijelnu kvantifikaciju nesigurnosti oko koordinata kategorija, odabir dimenzija putem marginalne vjerojatnosti i uključivanje prethodnog znanja o odnosima među varijablama.

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Izvori

  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

Kako citirati ovu stranicu

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

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ScholarGateBayesian Multiple Correspondence Analysis (Bayesian Multiple Correspondence Analysis). Preuzeto 2026-06-15 s https://scholargate.app/hr/statistics/bayesian-multiple-correspondence-analysis · Skup podataka: https://doi.org/10.5281/zenodo.20539026