Dynamic spatial regression models for space-varying forest stand tables

Dynamic spatial regression models for space-varying forest stand tables

Space-varying regression models: specifications and simulation

Space-varying regression models are generalizations of standard linear models where the regression coe4cients are allowed to change in space. The spatial structure is speci%ed by a multivariate extension of pairwise di6erence priors, thus enabling incorporation of neighboring structures and easy sampling schemes. Bayesian inference is performed by incorporation of a prior distribution for the h...

Spatial Varying Coefficient Regression Model For Relative Risk Factors of Esophageal Cancer Patients

In conventional methods for spatial survival data modeling, it is often assumed that the coefficients of explanatory variables in different regions have a constant effect on survival time. Usually, the spatial correlation of data through a random effect is also included in the model. But in many practical issues, the factors affecting survival time do not have the same effects in different regi...

Space - Time Lags : Specification Strategy in Spatial Regression Models

The purpose of this article is to analyze the dynamic trend of spatial dependence, which is not only contemporary but time-lagged in many socio-economic phenomena. Firstly, we show some of the commonly used exploratory spatial data analysis (ESDA) techniques and we propose other new ones, the exploratory space-time data analysis (ESTDA) that evaluates the instantaneity of spatial dependence. We...

statistical inference via empirical bayes approach for stationary and dynamic contingency tables

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