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stat.AP2019
Bayesian influence diagnostics using normalizing functional Bregman divergence
Ian M Danilevicz, Ricardo S Ehlers
Ideally, any statistical inference should be robust to local influences. Although there are simple ways to check about leverage points in independent and linear problems, more comp…
stat.CO2019
A Conway-Maxwell-Poisson GARMA Model for Count Data
Ricardo S Ehlers
We propose a flexible model for count time series which has potential uses for both underdispersed and overdispersed data. The model is based on the Conway-Maxwell-Poisson (COM-Poi…