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Estimation of photovoltaic potential on residential rooftops using empirical Bayesian estimator
(2016-01-12)
Assessment of the photovoltaic generation potential on rooftops residential homes is performed by the calculation of the available areas for the installation of solar panels. However, socioeconomic factors could limit this ...
Estimation of Photovoltaic Potential on Residential Rooftops Using Empirical Bayesian Estimator
(Ieee, 2015-01-01)
Assessment of the photovoltaic generation potential on rooftops residential homes is performed by the calculation of the available areas for the installation of solar panels. However, socioeconomic factors could limit this ...
Bayesian Melding Estimation of a Stochastic SEIR Model
(Taylor & Francis IncPhiladelphiaEUA, 2010)
Comparison between the complete Bayesian method and empirical Bayesian method for ARCH models using Brazilian financial time series
(Sociedade Brasileira de Pesquisa Operacional, 2012-08-01)
In this work we compared the estimates of the parameters of ARCH models using a complete Bayesian method and an empirical Bayesian method in which we adopted a non-informative prior distribution and informative prior ...
A Bayesian nonparametric model for Taguchi's on-line quality monitoring procedure for attributes
(ELSEVIER SCIENCE BVAMSTERDAM, 2012)
A Bayesian nonparametric model for Taguchi's on-line quality monitoring procedure for attributes is introduced. The proposed model may accommodate the original single shift setting to the more realistic situation of gradual ...
A Bayesian nonparametric model for Taguchi's on-line quality monitoring procedure for attributes
(2012-09-01)
A Bayesian nonparametric model for Taguchi's on-line quality monitoring procedure for attributes is introduced. The proposed model may accommodate the original single shift setting to the more realistic situation of gradual ...
Bayesian Estimation of Turbulent Motion
(IEEE Computer Society, 2013-04)
Based on physical laws describing the multiscale structure of turbulent flows, this paper proposes a regularizer for fluid motion estimation from an image sequence. Regularization is achieved by imposing some scale invariance ...
On estimation and influence diagnostics for log-Birnbaum-Saunders Student-t regression models: Full Bayesian analysis
(ELSEVIER SCIENCE BV, 2010)
The purpose of this paper is to develop a Bayesian approach for log-Birnbaum-Saunders Student-t regression models under right-censored survival data. Markov chain Monte Carlo (MCMC) methods are used to develop a Bayesian ...
Cross-asset contagion in the financial crisis: A Bayesian time-varying parameter approach
(Elsevier B.V., 2019)
The recent U.S. subprime crisis provides us with a perfect framework to study cross-asset contagion mechanisms in the U.S. financial markets. Specifically, we look at how and to what extent a negative shock that initially ...
Bayesian estimation of generalized exponential distribution under noninformative priors
(Amer Inst Physics, 2012-01-01)
The generalized exponential distribution, proposed by Gupta and Kundu (1999), is a good alternative to standard lifetime distributions as exponential, Weibull or gamma. Several authors have considered the problem of Bayesian ...