This article presents the Poisson-Inverse Gamma regression model with varying dispersion for approximating heavy … for maximum likelihood (ML) estimation of the Poisson-Inverse Gamma regression model with varying dispersion. The …. Finally, both the a priori and a posteriori, or Bonus-Malus, premium rates that are determined by the Poisson-Inverse Gamma …

. We propose a new prior for variance shrinkage in TVP models, called triple gamma. The triple gamma prior encompasses a … number of priors that have been suggested previously, such as the Bayesian Lasso, the double gamma prior and the Horseshoe … selection. The features of the triple gamma prior are then illustrated in the context of time varying parameter vector …

generate the same taxable income-disapproving the mere "ability to pay" paradigm. From the Gamma Rationality Measure for the …

In this paper, we introduce a new family of univariate continuous distributions called the Gamma Kumaraswamy … particular member of the family with four parameters, called the gamma Kumaraswamy exponential distribution. Among its advantages …, upside-down bathtub, and bathtub shapes. Subsequently, the inference on the gamma Kumaraswamy exponential model is performed …

generate the same taxable income-disapproving the mere "ability to pay" paradigm. From the Gamma Rationality Measure for the …