About
7
Publications
825
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
55
Citations
Introduction
Additional affiliations
January 2015 - present
October 2012 - September 2015
Education
September 2012 - November 2014
September 2005 - July 2012
Publications
Publications (7)
Regular vine copulas (R-vines) provide a comprehensive framework for modeling high-dimensional dependencies using a hierarchy of trees and conditional pair-copulas. While the graphical structure of R-vines is traditionally derived from data, this work introduces a novel approach by utilizing a (conditional) pairwise dependence list. Our primary goa...
This paper deals with the problem of detecting sand dunes from remotely sensed images of the surface of Mars. We build on previous approaches that propose methods to extract informative features for the classification of the images. The intricate correlation structure exhibited by these features motivates us to propose the use of probabilistic clas...
In this paper we introduce vine copulas to model probabilistic dependencies in supervised classification problems. Vine copulas allow the representation of the dependence structure of multidimensional distributions as a factorization of bivariate pair-copulas. The flexibility of this model lies in the fact that we can mix different types of pair-co...
Este trabajo introduce el uso de cópulas de Bernstein en vines, los cuales son modelos gráficos probabilísticos capaces de representar distribuciones de probabilidad de grandes dimensiones mediante cópulas bivariadas. Específicamente, se utilizan Cvines y Dvines, los modelos más sencillos de los vines. En problemas de prueba que exhiben diversos pa...
A Vine Estimation of Distribution Algorithm (VEDA) is a recently proposed optimization procedure built on top of a probabilistic graphical model called vine. The first target of vines was uncertainty analysis with high dimensional dependence modeling. The aim of this communication is to draw a path through a simple set of experiments, from the Univ...
Four undirected graphical models based on copula theory are investigated in relation to their use within an estimation of distribution algorithm (EDA) to address the molecular docking problem. The simplest algorithms considered are built on top of the product and normal copulas. The other two construct high-dimensional dependence models using the p...
