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Bejzijanovska Košova regresija×Model sa nultom inflacijom×
OblastStatistikaStatistika
PorodicaRegression modelRegression model
Godina nastanka1972 (Cox PH); 2001 (Bayesian treatment)1992
TvoracCox (1972) for the base model; Bayesian formulation by Sinha, Chen & Ghosh (1990s); comprehensive treatment by Ibrahim, Chen & Sinha (2001)Diane Lambert
TipSurvival regressionCount regression with excess zeros
Temeljni izvorIbrahim, J. G., Chen, M.-H., & Sinha, D. (2001). Bayesian Survival Analysis. Springer. ISBN: 978-0387952772Lambert, D. (1992). Zero-inflated Poisson regression, with an application to defects in manufacturing. Technometrics, 34(1), 1–14. DOI ↗
Drugi naziviBayesian Cox PH model, Bayesian proportional hazards model, Bayesian survival regression, BCoxZIP model, ZINB model, zero-inflated Poisson, zero-inflated negative binomial
Srodne66
SažetakBayesian Cox regression combines the Cox proportional hazards model for time-to-event data with Bayesian inference. Instead of point estimates, it produces full posterior distributions over the hazard ratios, naturally incorporating prior knowledge and providing coherent uncertainty quantification even with small samples or informative censoring.A zero-inflated model is a two-component mixture regression designed for count outcomes that contain more zero values than a standard Poisson or negative binomial distribution can accommodate. One component is a binary process that generates structural zeros; the other is a count process that generates both zeros and positive counts.
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ScholarGateUporedite metode: Bayesian Cox Regression · Zero-inflated model. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare