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Bayesian Inference Applied to Dynamic Nelson-Siegel Model with Stochastic Volatility
(Sociedade Brasileira de Econometria, 2010)
Particle filter with unknown noise statistics and with prior knowledge
(Asociación Argentina de Control Automático, 2018)
Particle filters have been widely used as a solution to the Bayesian filtering problem, propagating in time a Monte Carlo (MC) approximation of the a posteriori filtering measure. In many situations, the exact statistics ...
Prediction of water consumption by consumer categories: a case studyPredição do consumo de água por categoria de consumo: um estudo de caso
(Universidade Federal de Santa Maria, 2020)
Bayesian mixture of parametric and nonparametric density estimation: A Misspecification Problem
(Sociedade Brasileira de Econometria, 2011)
Geographical distribution and ecological diversification of South American octodontid rodents
(Wiley Blackwell Publishing, Inc, 2013-02)
Caviomorph rodents represent one of the most distinctive groups of mammals in southern South America drylands; they colonized South America from Africa via trans-oceanic dispersions in the Eocene (40-50 Ma) and underwent ...
A General Purpose Scale-Independent MCMC Algorithm
(Centro de Investigación en Matemáticas AC, 2007)
Company family, innovation and colombian graphic industry: a bayesian estimation of a logistical model
(Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018)
A reduced order approach for probabilistic inversions of 3-D magnetotelluric data I: general formulation
(Wiley Blackwell Publishing, Inc, 2020-12)
Simulation-based probabilistic inversions of 3-D magnetotelluric (MT) data are arguably the best option to deal with the nonlinearity and non-uniqueness of the MT problem. However, the computational cost associated with ...
Aproximación Bayesiana al Método de Estabilidad Fenotípica de Eberhart y Russell
(Universidad Militar Nueva Granada, 2016)