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Trabajo Fin de Grado
Introducción a las Redes Bayesianas
(2020)
One of the more relevant purposes of the Statistical Modeling is that of describing probabilistic relations among a set of random variables and show them in a meaningful format. Bayesian Networks (BNs) combine a ...
Trabajo Fin de Grado
Estimación paramétrica y validación en redes bayesianas
(2022-06-22)
En este Trabajo de Fin de Grado estudiamos con detalle varios métodos de estimación paramétrica (máxima verosimilud, minimax y estimación Bayesiana) en un modelo grafo probabilístico llamado red Bayesiana. También analizamos ...
Trabajo Fin de Grado
Método de descomposición de Benders aplicado al problema de diseño de redes con carga fija
(2023)
New communication networks are constantly emerging to improve connectivity services and facilitate the interconnection of devices of various types. This involves the development of different technologies, such as ...
Trabajo Fin de Grado
Un modelo para el diseño robusto de redes y análisis estadístico de su eficiencia
(2022-06-15)
The aim of this work is to design a robust distribution network under uncertainty in costs. These parameters can be modeled as points in a polyhedral set where the knowledge about dependence relations among them are ...
Trabajo Fin de Grado
Caminos Pareto-eficientes en redes: aplicaciones
(2015-06)
The problem of finding the path in a network connecting two given nodes, source and sink, with minimum possible cost is known in the literature as the shortest path problem (SPP) and it is a core model that lies at ...
Trabajo Fin de Grado
El método húngaro de asignación: aplicaciones
(2016)
The linear sum assignment problem is one of the most interesting problems in linear programming and in combinatorial optimization. It consists of finding a minimum weight perfect matching in a weighted bipartite graph. ...
Trabajo Fin de Grado
Introducción a la optimización robusta
(2017-06)
Sometimes, we may found a decision problem, different situations in which we have different options and we must decide. The treatment we must give to the problem must take into account the frequency with which the decision ...
Trabajo Fin de Grado
Elementos de inferencia no paramétrica
(2018)
This project deals with nonparametric statistical solutions for hypotheses testing problems and codes for the software environment R for the application of these solutions. In particular, the methods presented here ...
Trabajo Fin de Grado
El método de aproximación por media muestral aplicado a optimización estocástica discreta
(2016)
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 a random sample is generated and the expected ...