5 citations · 7 across the 5 of their papers we have counts for
5 papers
New distance measures for classifying X-ray astronomy data into stellar classes
Amparo Baíllo, Javier Cárcamo, Konstantin V. Getman
The classification of the X-ray sources into classes (such as extragalactic sources, background stars, ...) is an essential task in astronomy. Typically, one of the classes corresp…
Supervised classification for a family of Gaussian functional models
Amparo Baíllo, Juan Antonio Cuesta-Albertos, Antonio Cuevas
In the framework of supervised classification (discrimination) for functional data, it is shown that the optimal classification rule can be explicitly obtained for a class of Gauss…
Correction to "Leverage and volatility feedback effects in high-frequency data" [J. Financial Econometrics 4 (2006) 353--384]
Amparo Baillo
Bollerslev et al. (2006) study the cross-covariances for squared returns under the Heston (1993) stochastic volatility model. In order to obtain these cross-covariances the authors…
Tests for zero-inflation and overdispersion
A. Baillo, J. Carcamo, J. R. Berrendero
We propose a new methodology to detect zero-inflation and overdispersion based on the comparison of the expected sample extremes among convexly ordered distributions. The method is…
Supervised functional classification: A theoretical remark and some comparisons
Amparo Baillo, Antonio Cuevas
The problem of supervised classification (or discrimination) with functional data is considered, with a special interest on the popular k-nearest neighbors (k-NN) classifier. First…