This paper studies Bayesian local influence analysis for the spatial autoregressive models
with heteroscedasticity (heteroscedastic SAR models). Two local diagnostic procedures …

A new and flexible distribution is introduced for modeling proportional data based on the
quantile of the generalized extreme value distribution. We obtain explicit expressions for the …

We present a dynamical model of drug accumulation in bacteria. The model captures key
features in experimental time courses on ofloxacin accumulation: initial uptake; two-phase …

Any unperturbed and perturbed posterior density can formally be linked by a mixture. Many
divergences between the unperturbed and perturbed posterior density-global measures of …

Abstract System reliability is important for systems engineers, since it is directly related to a
company's reputation, customer satisfaction, and system design costs. Improving system …

Tobit confirmatory factor analysis is particularly useful in analysis of multivariate data with
censored information. Two methods for estimating multivariate Tobit confirmatory factor …

Linear regression models where the response variable is censored are often considered in
statistical analysis. A parametric relationship between the response variable and covariates …

In this paper, we propose extending proportional hazards frailty models to allow a discrete
distribution for the frailty variable. Having zero frailty can be interpreted as being immune or …

This paper develops a Bayesian local influence approach to assess the effects of minor
perturbations to the prior, sampling distribution and individual observations on the statistical …

We examine three Bayesian case influence measures including the φ-divergence, Cook's
posterior mode distance, and Cook's posterior mean distance for identifying a set of …