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Bayesian methodsBayesian / computational

Utaftaji wa Bayesian wenye Data Zilizokosekana

Utaftaji wa Bayesian wenye data zilizokosekana huona maadili yasiyoonekana kama vigezo visivyojulikana na huyaondoa kwa kuyaunganisha kutoka kwa usambazaji wa nyuma. Badala ya kufuta au kuingiza kwa nasibu rekodi zisizo kamili, mbinu hii huunganisha kwa pamoja data zilizoonekana na zilizokosekana chini ya utaratibu maalum wa kukosekana kwa data, ikitoa uhakika kamili wa nyuma unaoonyesha kwa uaminifu kile ambacho data haiwezi kutuambia.

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Vyanzo

  1. Little, R. J. A. & Rubin, D. B. (2002). Statistical Analysis with Missing Data (2nd ed.). Wiley-Interscience. ISBN: 978-0471183860
  2. Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A. & Rubin, D. B. (2013). Bayesian Data Analysis (3rd ed.). CRC Press. ISBN: 978-1439840955

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Bayesian Inference with Missing Data. ScholarGate. https://scholargate.app/sw/bayesian/bayesian-inference-with-missing-data

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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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Imerejelewa na

ScholarGateBayesian Inference with Missing Data (Bayesian Inference with Missing Data). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/bayesian/bayesian-inference-with-missing-data · Seti ya data: https://doi.org/10.5281/zenodo.20539026