Pedro Delicado

According to our database, Pedro Delicado authored at least 15 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

SurvLIMEpy: A Python package implementing SurvLIME.

Cristian Pachón-García, Carlos Hernández-Pérez, Pedro Delicado, Verónica Vilaplana

Expert Syst. Appl., March, 2024

2019

Understanding complex predictive models with Ghost Variables.

Pedro Delicado, Daniel Peña

CoRR, 2019

2017

Choosing the most relevant level sets for depicting a sample of densities.

Pedro Delicado, Philippe Vieu

Comput. Stat., 2017

2015

Discussion of "Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan" by Piercesare Secchi, Simone Vantini and Valeria Vitelli.

Pedro Delicado

Stat. Methods Appl., 2015

Optimal level sets for bivariate density representation.

Pedro Delicado, Philippe Vieu

J. Multivar. Anal., 2015

2011

Dimensionality reduction when data are density functions.

Pedro Delicado

Comput. Stat. Data Anal., 2011

2010

Confidence intervals for median survival time with recurrent event data.

Juan R. Gonzalez, Edsel A. Peña, Pedro Delicado

Comput. Stat. Data Anal., 2010

Distance-based local linear regression for functional predictors.

Eva Boj, Pedro Delicado, Josep Fortiana

Comput. Stat. Data Anal., 2010

2009

Measuring non-linear dependence for two random variables distributed along a curve.

Pedro Delicado, Marcelo Smrekar

Stat. Comput., 2009

Analysing musical performance through functional data analysis: rhythmic structure in Schumann's <i>Träumerei</i>.

Josué Almansa, Pedro Delicado

Connect. Sci., 2009

2008

A small sample comparison of maximum likelihood, moments and L-moments methods for the asymmetric exponential power distribution.

Pedro Delicado, M. N. Goria

Comput. Stat. Data Anal., 2008

2007

Functional <i>k</i>-sample problem when data are density functions.

Pedro Delicado

Comput. Stat., 2007

A web server for automatic analysis and extraction of relevant biological knowledge.

Juan Cedano, Mario Huerta, Irene Estrada, Frederic Ballllosera, Oscar Conchillo, Pedro Delicado, Enrique Querol

Comput. Biol. Medicine, 2007

Mixture of nonlinear models: a Bayesian fit for Principal Curves.

Pedro Delicado, Marcelo Smrekar

Proceedings of the International Joint Conference on Neural Networks, 2007

2003

Principal Curves of Oriented Points: theoretical and computational improvements.

Pedro Delicado, Mario Huerta

Comput. Stat., 2003