Regression modelRegression / GLM

Bejzovski model sa nultom inflacijom

Bejzovski model sa nultom inflacijom rukuje sa podacima o brojevima sa viškom nula kombinovanjem binarne komponente — identifikujući strukturne nule — sa komponentom broja (Poasonovom ili negativnom binomnom) za preostale brojeve. Bejzovska inferencija putem MCMC-a pruža potpune posteriorne distribucije za sve parametre, omogućavajući principijelno kvantifikovanje nesigurnosti i regularizaciju kroz prethodne raspodele.

Primenite uz StatMindUskoroVideoUskoroDownload slides

Pročitajte celu metodu

Samo za članove

Prijavite se besplatnim nalogom da biste pročitali ovaj odeljak.

Prijavite se

Method map

The neighbourhood of related methods — select a node to explore.

Izvori

  1. Ghosh, S. K., Mukhopadhyay, P., & Lu, J.-C. (2006). Bayesian analysis of zero-inflated regression models. Journal of Statistical Planning and Inference, 136(4), 1360–1375. DOI: 10.1016/j.jspi.2004.10.008
  2. Lambert, D. (1992). Zero-inflated Poisson regression, with an application to defects in manufacturing. Technometrics, 34(1), 1–14. DOI: 10.2307/1269547

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Bayesian Zero-Inflated Count Model. ScholarGate. https://scholargate.app/sr/statistics/bayesian-zero-inflated-model

Which method?

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.

Compare side by side

Citirana u

ScholarGateBayesian Zero-inflated model (Bayesian Zero-Inflated Count Model). Preuzeto 2026-06-15 sa https://scholargate.app/sr/statistics/bayesian-zero-inflated-model · Skup podataka: https://doi.org/10.5281/zenodo.20539026