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ORCIDHilario Navarro
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2020 – today
- 2021
[j10]Jorge M. Arevalillo
, Hilario Navarro:
Skewness-Based Projection Pursuit as an Eigenvector Problem in Scale Mixtures of Skew-Normal Distributions. Symmetry 13(6): 1056 (2021)- 2020
- [j9]Jorge M. Arevalillo, Hilario Navarro:
Data projections by skewness maximization under scale mixtures of skew-normal vectors. Adv. Data Anal. Classif. 14(2): 435-461 (2020)
2010 – 2019
- 2014
- [j8]Miguel Ángel Gómez-Villegas, Paloma Main, Hilario Navarro, Rosario Susi:
Sensitivity to hyperprior parameters in Gaussian Bayesian networks. J. Multivar. Anal. 124: 214-225 (2014) - 2013
- [j7]Miguel Ángel Gómez-Villegas, Paloma Main, Hilario Navarro, Rosario Susi:
Assessing the effect of kurtosis deviations from Gaussianity on conditional distributions. Appl. Math. Comput. 219(21): 10499-10505 (2013) - [j6]Jorge M. Arevalillo, Hilario Navarro:
Exploring correlations in gene expression microarray data for maximum predictive-minimum redundancy biomarker selection and classification. Comput. Biol. Medicine 43(10): 1437-1443 (2013) - 2012
- [j5]Jorge M. Arevalillo, Hilario Navarro:
A study of the effect of kurtosis on discriminant analysis under elliptical populations. J. Multivar. Anal. 107: 53-63 (2012) - 2011
- [j4]Jorge M. Arevalillo, Hilario Navarro:
A new method for identifying bivariate differential expression in high dimensional microarray data using quadratic discriminant analysis. BMC Bioinform. 12(S-12): S6 (2011) - [j3]Miguel Ángel Gómez-Villegas, Paloma Main, Hilario Navarro, Rosario Susi:
Evaluating the difference between graph structures in Gaussian Bayesian networks. Expert Syst. Appl. 38(10): 12409-12414 (2011) - [j2]Jorge M. Arevalillo, Hilario Navarro:
Uncovering Bivariate Interactions in High Dimensional Data Using Random Forests with Data Augmentation. Fundam. Informaticae 113(2): 97-115 (2011)
2000 – 2009
- 2009
- [j1]Paloma Main, Hilario Navarro:
Analyzing the effect of introducing a kurtosis parameter in Gaussian Bayesian networks. Reliab. Eng. Syst. Saf. 94(5): 922-926 (2009) - [c1]Jorge M. Arevalillo, Hilario Navarro:
Using random forests to uncover bivariate interactions in high dimensional small data sets. KDD Workshop on Statistical and Relational Learning in Bioinformatics 2009: 3-6
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