Search results for "Estadística bayesiana"
showing 4 items of 14 documents
On the convenience of heteroscedasticity in highly multivariate disease mapping
2019
Highly multivariate disease mapping has recently been proposed as an enhancement of traditional multivariate studies, making it possible to perform the joint analysis of a large number of diseases. This line of research has an important potential since it integrates the information of many diseases into a single model yielding richer and more accurate risk maps. In this paper we show how some of the proposals already put forward in this area display some particular problems when applied to small regions of study. Specifically, the homoscedasticity of these proposals may produce evident misfits and distorted risk maps. In this paper we propose two new models to deal with the variance-adaptiv…
Some links between conditional and coregionalized multivariate Gaussian Markov random fields
2020
Abstract Multivariate disease mapping models are attracting considerable attention. Many modeling proposals have been made in this area, which could be grouped into three large sets: coregionalization, multivariate conditional and univariate conditional models. In this work we establish some links between these three groups of proposals. Specifically, we explore the equivalence between the two conditional approaches and show that an important class of coregionalization models can be seen as a large subclass of the conditional approaches. Additionally, we propose an extension to the current set of coregionalization models with some new unexplored proposals. This extension is able to reproduc…
Conectando con el pasado. Redes sociales en la Prehistoria Reciente
2022
Las redes sociales virtuales han cambiado el modo de vida de la humanidad. Permiten interactuar con personas de todo el planeta o difundir noticias. Sin embargo, las redes sociales no son un invento contemporáneo. Desde los orígenes de la humanidad, las redes sociales constituyen el complejo entramado sobre el que se tejen las estructuras colectivas que conforman las sociedades humanas. Esta densa trama de relaciones, que comienza a ser tejida en círculos íntimos, tiene el potencial de crecer y extenderse hasta los confines más distantes. Las estructuras de toda sociedad humana se edifican sobre esta urdimbre relacional, independientemente de su grado de complejidad. Por ello el estudio de …
Mathematical Modeling for Neuropathic Pain: Bayesian Linear Regression and Self-Organizing Maps Applied to Carpal Tunnel Syndrome
2020
A better understanding of the connection between risk factors associated with pain and function may assist therapists in optimizing therapeutic programs. This study applied mathematical modeling to analyze the relationship of psychological, psychophysical, and motor variables with pain, function, and symptom severity using Bayesian linear regressions (BLR) and self-organizing maps (SOMs) in carpal tunnel syndrome (CTS). The novelty of this work was a transfer of the symmetry mathematical background to a neuropathic pain condition, whose symptoms can be either unilateral or bilateral. Duration of symptoms, pain intensity, function, symptom severity, depressive levels, pinch tip grip force, a…