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On the Support of MacEachern's Dependent Dirichlet Processes and Extensions
(INT SOC BAYESIAN ANALYSIS, 2012)
We study the support properties of Dirichlet process-based models for sets of predictor-dependent probability distributions. Exploiting the connection between copulas and stochastic processes, we provide an alternative ...
Augmented Mixed Models For Clustered Proportion Data
(Sage Publications LtdLondon, 2017)
An entropy-based approach for disaster risk assessment and humanitarian logistics operations planning in Colombia
(Emerald Group Publishing Ltd, 2021-02-18)
Purpose This paper aims to design a vulnerability assessment model considering the multidimensional and systematic approach to disaster risk and vulnerability. This model serves to both risk mitigation and disaster ...
Classificadores induzidos de divergências para modelos vetoriais e para distribuição Wishart complexa: experimentos em imagens PolSAR
(Universidade Federal de PernambucoUFPEBrasilPrograma de Pos Graduacao em Estatistica, 2018)
Solving Stackelberg Security Games For Multiple Defenders and Multiple Attackers
(2015)
In the last years, there has been a substantial effort in the application of Stackelberg game-theoretic approaches in the security arena, in which security agencies implement patrols
and checkpoints to protect targets ...
Region-based classification of PolSAR data using radial basis kernel functions with stochastic distances
(2018-06-05)
Region-based classification of PolSAR data can be effectively performed by seeking for the assignment that minimizes a distance between prototypes and segments. Silva et al. [“Classification of segments in PolSAR imagery ...
A Bayesian Semiparametric Temporally-Stratified Proportional Hazards Model with Spatial Frailties
(INT SOC BAYESIAN ANALYSIS, 2012)
Incorporating temporal and spatial variation could potentially enhance information gathered from survival data. This paper proposes a Bayesian semiparametric model for capturing spatio-temporal heterogeneity within the ...
Contributions to the convergence theory and computational implementation of interior optimization methods for convex problems
(Universidad de Chile, 2016)
En esta tesis doctoral se estudian algoritmos para resolver problemas de optimización convexa
con estructura separable, y problemas de equilibrio económico de Walras. Así, la tesis
se divide en dos partes. La primera ...
Teoria da informação aplicada a modelos Arma: testes para identificação e quantificação de Overfitting
(Universidade Federal de PernambucoUFPEBrasilPrograma de Pos Graduacao em Estatistica, 2016)