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THE STRATEGY OF EMPIRICAL RESEARCH AND OPTIMIZATION PROCESS
(Sociedade Brasileira de Pesquisa Operacional, 2001)
Culture Bumps: An Empirical Approach to the Translation of Allusions
(Instituto de Letras - Universidade Federal do Rio Grande do Sul, 2011)
Investment theory and empirical approach: a discussion on dificulties
(2014)
In this paper, we analyse several contributions made concerning investment theory in the last decades. The objective of the paper is to discuss the difficulties of the testable theory identified by Chirinko (1983), Fazzari ...
A useful empirical bayesian method to analyse industrial data from saturated factorial designs
(2013-05-07)
The use of saturated two-level designs is very popular, especially in industrial applications where the cost of experiments is too high. Standard classical approaches are not appropriate to analyze data from saturated ...
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 ...
An unconstrained optimization approach to empirical mode decomposition
(Academic Press Inc Elsevier Science, 2015-05)
Empirical mode decomposition (EMD) is an adaptive (data-driven) method to decompose non-linear and non-stationary signals into AM-FM components. Despite its well-known usefulness, one of the major EMD drawbacks is its lack ...
Spatial portability of numerical models of leaf wetness duration based on empirical approaches
(ELSEVIER SCIENCE BV, 2010)
Leaf wetness duration (LWD) models based on empirical approaches offer practical advantages over physically based models in agricultural applications, but their spatial portability is questionable because they may be biased ...
Orientation-Independent Empirical Mode Decomposition for Images Based on Unconstrained Optimization
(Institute of Electrical and Electronics Engineers, 2016-03)
This paper introduces a 2D extension of the empirical mode decomposition (EMD), through a novel approach based on unconstrained optimization. EMD is a fully data-driven method that locally separates, in a completely ...