The present paper has two goals. First to present a natural example of a new class of random fields which are the variable neighborhood random fields. The example we consider is a partially observed nearest neighbor binary ...

As árvores probabilísticas de contexto oferecem uma representação mais eficiente para a dependência de uma Cadeia de Markov, tanto do ponto de vista computacional como em sua fácil interpretação. Essas vantagens permitiram ...

Sequential Gaussian simulation is one of the most widespread algorithms for simulating regionalized variables in the earth sciences. Simplicity and flexibility of this algorithm are the most important reasons that make it ...

The multi-Gaussian model is used in geostatistical applications to predict functions of a regionalized variable and to assess uncertainty by determining local (conditional to neighboring data) distributions. The ...

The present project focuses on the analysis of the status of the road infrastructure of the Altamira neighborhood in the city of Tunja, Boyacá, Colombia; and the vision that its inhabitants have about it. Henceforth it is ...

El presente proyecto de investigación tiene como objetivo realizar una investigación en el barrio la florida del municipio de melgar Tolima a raíz de una creciente problemática que ha se ha venido presentando en esta ...

The logistics research field has observed the growing use of electric vehicles in different branches, including passenger transport. The PCVEP is a logistics problem that mixes elements of the well-known Traveling Salesman ...

Lattice data models are used to describe the behavior of variables in delimited spaces known as neighborhoods, these usually generated geographically or artificially by political factors. In addition to these neighborhoods, ...