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El supuesto de normalidad: ¿mito o realidad?
(Universidad de La Salle. Ediciones Unisalle, 23 d)
A Bayesian approach to hybrid splines non-parametric regression
(Taylor & Francis LtdAbingdonInglaterra, 2002)
Bayesian inference for longitudinal data with non-parametric treatment effects
(2014)
We consider inference for longitudinal data based on mixed-effects models with a non-parametric Bayesian prior on the treatment effect.
The proposed non-parametric Bayesian prior is a random partition model with a regression ...
A family of non-parametric density estimation algorithms
(Wiley, 2013-02)
A new methodology for density estimation is proposed. The method- ology, which builds on the one developed in [15], normalizes the data points through the composition of simple maps. The parameters of each map are determined ...
Non-parametric edge detection in speckled imagery
(Universidade Federal de Pernambuco, 2014)
Study of statistic stability to select high-yielding and stable peach genotypes
(Elsevier Science, 2014-08)
In peach breeding, suitable identification methods for performance stability studies as well as the associations between stability parameters are poorly understood. Therefore, the aims of this work were to compare parametric ...
Independence Test For Sparse Data
(Amer Inst PhysicsMelville, 2016)
Parametric and non-parametric probabilistic approaches in the mechanics of thin-walled composite curved beams
(Elsevier, 2015-05)
In this paper we perform a quantification of the uncertainty propagation of the dynamics of slender initially curved structures constructed with fiber reinforced composite materials. Depending on the manufacturing process, ...
Phylogenetic trees via Hamming distance decomposition tests
(Taylor & Francis LtdAbingdonInglaterra, 2012)