Záznam dôkazov metódy

Bayesian Negative Binomial Regression

Bayesian Negative Binomial Regression models non-negative integer count outcomes that exhibit overdispersion — where the variance exceeds the mean — by placing a negative binomial likelihood on the data and specifying prior distributions over the regression coefficients and the dispersion parameter. Posterior inference is typically performed via Markov chain Monte Carlo (MCMC) or variational methods, yielding full posterior distributions rather than point estimates.

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Taxonomický záznam metódy · regression-model / statistics

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
Cameron, A. C., & Trivedi, P. K. (2013). Regression Analysis of Count Data (2nd ed.). Cambridge University Press. · ISBN 978-1107667273

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Taxonomic bucketBayesian Generalized Linear Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian Poisson Regressionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian Zero-inflated modelmachine-suggested · Relational suggestion, not evidence.Same method familyNegative Binomial Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyPoisson Regressionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketZero-inflated modelmachine-suggested · Relational suggestion, not evidence.