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Mostrando ítems 11-20 de 42
A latent force model based on the wave equation for describing the electric propagation in deep brain stimulationA latent force model based on the wave equation for describing the electric propagation in deep brain stimulation
(Pereira : Universidad Tecnológica de PereiraFacultad de Ingenierías Eléctrica, Electrónica y Ciencias de la ComputaciónMaestría en Ingeniería Eléctrica, 2015)
Modelamiento de redes sociales múltiples
(Universidad Santo TomásMaestría Estadística AplicadaFacultad de Estadística, 2021-01-20)
In this work, we propose a statistical model to simultaneously characterize two or more social networks, where the same set of actors interact with each other. In addition to investigate ties within networks, the proposed ...
Efficacy of gaussian mixture models for genotype selection in coffee beanEficácia dos modelos de mistura gaussiano para seleção de genótipos de cafeeiro
(Universidade Federal de LavrasPrograma de Pós-Graduação em Genética e Melhoramento de PlantasUFLAbrasilDepartamento de Biologia, 2020)
Modelos aproximados e exatos para geoestatística com amostragem preferencial
(Universidade Federal de Minas GeraisBrasilICX - DEPARTAMENTO DE ESTATÍSTICAPrograma de Pós-Graduação em EstatísticaUFMG, 2021-09-03)
Geostatistical models are used to analyze spatially correlated data under a continuous domain. The traditional methodology of geostatistics supposes that the sampling design is constructed independently of the phenomena ...
Inferência Bayesiana exata para processos de Cox level-set
(Universidade Federal de Minas GeraisBrasilICX - DEPARTAMENTO DE ESTATÍSTICAPrograma de Pós-Graduação em EstatísticaUFMG, 2019-12-03)
This thesis proposes a novel family of multidimensional Cox processes with piece-wise constant intensity function and an exact Bayesian approach to perform statistical inference in this family. This family is based on the ...
Super resolución (SR) en imágenes de resonancia magnética DWI de cerebro usando estimación bayesiana
(2019)
En la presente tesis, se propone un método bayesiano de Súper resolución (SR) que obtiene imágenes de alta resolución (HR) DWI a partir de imágenes degradadas de baja resolución (LR), tratando de recuperar un máximo de la ...
Análisis de morfología estructural cerebral a partir de correspondencias de forma Usando (Variational multiview unsupervised learning)
(Universidad Tecnológica de PereiraFacultad de IngenieríasPereiraMaestría en Ingeniería Eléctrica, 2022)
Outage Probability For Mimo Relay Channel
(Institute of Electrical and Electronics Engineers Inc., 2014)
Outage Probability For Mimo Mac Channels
(Institute of Electrical and Electronics Engineers Inc., 2014)
Modelo espacial bayesiano de Cox log-gaussiano usando SPDE para estimar la ocurrencia de incendios forestales en el Perú
(Pontificia Universidad Católica del PerúPE, 2023)