On joint estimation of regression and overdispersion parameters in generalized linear models for longitudinal data... This raises the necessity for a joint estimation of the regression, as well as overdispersion parameters, in order to describe the marginal expectation of the outcome variable as a function of the covariates....
On joint estimation of regression and overdispersion parameters in generalized linear models for longitudinal data ... This raises the necessity for a joint estimation of the regression, as well as overdispersion parameters, in order to describe the marginal expectation of the outcome variable as a function of the covariates....
Discussion of the paper 'bayesian time series' by aguilar, huerta, prado and west... We suggest the use of marginal residuals, observed or predicted value marginal expectation standard error for checking the structure of the observation regression (the vector F t ) and the evolution structure (the matrix G t )....
On the equivalence of conglomerability and disintegrability for unbounded random variables. ∗... Dubins (1975) showed that a finitely additive expectation over the collection of bounded random variables can be written as an integral of conditional expectations (disintegrability) if and only if the marginal expectation is always within the smallest closed interval containing the conditional expectations (conglomerability)....
