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Bibliografie

Research Report

Distributed Sequential Zero-Inflated Poisson Regression

Žemlička R., Dedecius Kamil

: ÚTIA AV ČR, v. v. i.,, (Praha 2021)

: Research Report 2393

: Poisson regression, zero inflation, GLM

: http://library.utia.cas.cz/separaty/2021/AS/dedecius-0549265.pdf

(eng): The zero-inflated Poisson regression model is a generalized linear model (GLM) for non-negative count variables with an excessive number of zeros. This letter proposes its low-cost distributed sequential inference from streaming data in networks with information diffusion. The model is viewed as a probabilistic mixture of a Poisson and a zero-located Dirac component, whose probabilities are estimated using a quasi-Bayesian procedure. The regression coefficients are inferred by means of a weighted Bayesian update. The network nodes share their posterior distributions using the diffusion protocol.\n

: BD

: 10102