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Predicting Performance in a Subject Using Ordinal Logistic RegressionPredicción del rendimiento en una asignatura empleando la regresión logística ordinalPrevendo desempenho em um assunto por meio de regressão logística ordinal
(Universidad Austral de Chile, Facultad de Filosofía y Humanidades., 2018)
Using missing ordinal patterns to detect nonlinearity in time series data
(American Physical Society, 2017-08)
The number of missing ordinal patterns (NMP) is the number of ordinal patterns that do not appear in a series after it has been symbolized using the Bandt and Pompe methodology. In this paper, the NMP is demonstrated as a ...
A Bayesian semi-parametric approach to the ordinal calibration problem
(Taylor & Francis, 2016)
We introduce a semi-parametric Bayesian approach based on skewed Dirichlet processes priors for location parameters in the ordinal calibration problem. This approach allows the modeling of asymmetrical error distributions. ...
Application of multidimensional scheme and the discrete ordinate method to radiative heat transfer in a two-dimensional enclosure with diffusely emitting and reflecting boundary walls
(Pergamon-elsevier Science LtdOxfordInglaterra, 2004)
Predicting complex traits using microbiome information: A comparison of metagenome distance matrices
(2018)
The aim of this study was to compare ordination methods for microbiota distance matrices, in order to estimate variance components for complex traits prediction including the microbiome in its estimation. Seven ordination ...