0549265 20231122150148.920211207235959.9 Praha ÚTIA AV ČR, v. v. i., 2021 11 s. P Research Report 2393 Poisson regression zero inflation GLM cav_un_auth*0247754 Žemlička R. CZ cav_un_auth*0242543 Dedecius Kamil UTIA-B Adaptivní systémy Department of Adaptive Systems AS AS Department of Adaptive Systems CZ 50 Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2021/AS/dedecius-0549265.pdf 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. BD 10000 10100 10102 2022 2 4 O 4o 20231122150148.9 RVO:67985556 http://hdl.handle.net/11104/0325721 S 2021 Soubory v repozitáři: 0549265.pdf 2021 Praha ÚTIA AV ČR, v.v.i.,