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07/31/2023
The epigraph and the hypograph indexes as useful tools for clustering multivariate functional data
The proliferation of data generation has spurred advancements in functio...
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07/26/2022
Multivariate Functional Outlier Detection using the FastMUOD Indices
We present definitions and properties of the fast massive unsupervised o...
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12/21/2021
NN2Poly: A polynomial representation for deep feed-forward artificial neural networks
Interpretability of neural networks and their underlying theoretical beh...
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10/31/2021
Asgl: A Python Package for Penalized Linear and Quantile Regression
Asg is a Python package that solves penalized linear regression and quan...
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10/15/2021
Fast Partial Quantile Regression
Partial least squares (PLS) is a dimensionality reduction technique used...
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05/11/2021
Outlier Detection for Functional Data with R Package fdaoutlier
Outlier detection is one of the standard exploratory analysis tasks in f...
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02/07/2021
Towards a mathematical framework to inform Neural Network modelling via Polynomial Regression
Even when neural networks are widely used in a large number of applicati...
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12/16/2019
Detecting and Classifying Outliers in Big Functional Data
This paper proposes two new outlier detection methods, which are useful ...
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11/04/2019
Quantile regression: a penalization approach
Sparse group LASSO (SGL) is a penalization technique used in regression ...
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05/08/2019
Robust regression based on shrinkage estimators
A robust estimator is proposed for the parameters that characterize the ...
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04/04/2019
Multivariate outlier detection based on a robust Mahalanobis distance with shrinkage estimators
A collection of robust Mahalanobis distances for multivariate outlier de...
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04/17/2013
