In Bayesian spatially varying parameter models the covariates' coefficients in a regression model are allowed to change smoothly in space. A Markov random field is adopted as an improper prior distribution for the area-specific spatial effects. We demonstrate that the posterior distribution is a...

In this article, we propose a method for conducting likelihood-based inference for a class of nonstationary spatiotemporal log-Gaussian Cox processes. The method uses convolution-based models to capture spatiotemporal correlation structure, is computationally feasible even for large datasets,...

Posits a stagewise learning process involved in the building of brand equity: brand birth; the creation of brand awareness and associations; the building of quality and value perceptions; the emergence of brand loyalty; and the launching of brand extensions. Also reports on an empirical study...