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Inferencia bayesiana
(2018)
The subject of this document is Bayesian Inference, an inference system based on Bayes’ Formula. In the first chapter we will state this formula and will discuss how to use it. It will be shown that, according to the ...
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Mathematical optimization and social networks
(2015-06-22)
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Problemas de localización competitiva. El modelo de Huff
(2016-06)
The ability of a firm to produce goods and/or services and market them effectively depends largely on the location of its facilities. Location theory deals with the modelling, formulation and solution of mathematical problems ...
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Regresión Lasso
(2018-06)
Currently we find regression problems in many branches of science, so, as better is the model we use to select variables, better will be solved the problem. The models seek: precise predictions, stability and interpretab ...
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Mathematical optimization and feature selection
(2015-06-21)
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Support vector regression : propiedades y aplicaciones
(2016)
Statistical learning plays a key role in many areas of science, finance and industry. In particular, supervised learning plays a key role in the fields of statistics, data mining and artificial intelligence, intersecting ...
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El método de aproximación por media muestral
(2018-06)
The sample average approximation (SAA) method is an approach for solving stochastic optimization problems by using Monte Carlo simulation. The basic idea of such method is that we can approximate the expected objetive ...
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Ensemble Methods in Supervised Learning: Review towards an application in a model for predictions about Ecology
(2020-06-16)
Advancements in Machine Learning techniques such as Ensemble Methods provide a powerful tool for quickly building accurate predictive models for sustainable decision making. These algorithms help to enhance predictions by ...