Analysis of Discrete Dependent Variable Models with Spatial Correlation

What do instrumental variable models deliver with discrete dependent variables?

Bayesian Analysis of Survival Data with Spatial Correlation

Often in practice the data on the mortality of a living unit correlation is due to the location of the observations in the study‎. ‎One of the most important issues in the analysis of survival data with spatial dependence‎, ‎is estimation of the parameters and prediction of the unknown values in known sites based on observations vector‎. ‎In this paper to analyze this type of survival‎, ‎Cox...

Discrete analysis of spatial-sensitivity models.

The visual representation of spatial patterns begins with a series of linear transformations: the stimulus is blurred by the optics, spatially sampled by the photoreceptor array, spatially pooled by the ganglion-cell receptive fields, and so forth. Models of human spatial-pattern vision commonly summarize the initial transformations by a single linear transformation that maps the stimulus into ...

Size-dependent thermoelastic analysis of rotating nanodisks of variable thickness

This paper contains a strain gradient theory to capture size effects in rotating nanodisks of variable thickness under thermal and mechanical loading. Material properties of nanodisks have been taken homogeneous material. The strain gradient theory and the Hamilton’s principle are employed to derive the governing equations. Due to complexity of the governing differential equation and boundary c...

Discrete Spatial Models

1. Introduction By " discreteness " of a spatial model we generally understand that in any bounded neighbourhood, or (bounded) region, there are only finitely many elements of the carrier of the model. Thus the model should be (at least) locally finite. Another way of putting it is that the bounded regions should not be infinitely subdivisible. As is well known, Aristotle argued (Physics: III,6...