Principal Curves of Oriented Points: theoretical and computational improvements. - Pedro Delicado; Mario Huerta (Comput. Stat., 2003)

Mixture of nonlinear models: a Bayesian fit for Principal Curves. - Pedro Delicado; Marcelo Smrekar (IJCNN, 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)

Functional k-sample problem when data are density functions. - Pedro Delicado (Comput. Stat., 2007)

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)

Analysing musical performance through functional data analysis: rhythmic structure in Schumann's Träumerei. - Josué Almansa; Pedro Delicado (Connect. Sci., 2009)

Measuring non-linear dependence for two random variables distributed along a curve. - Pedro Delicado; Marcelo Smrekar (Stat. Comput., 2009)

Distance-based local linear regression for functional predictors. - Eva Boj; Pedro Delicado; Josep Fortiana (Comput. Stat. Data Anal., 2010)

Confidence intervals for median survival time with recurrent event data. - Juan R. Gonzalez; Edsel A. Peña; Pedro Delicado (Comput. Stat. Data Anal., 2010)

Dimensionality reduction when data are density functions. - Pedro Delicado (Comput. Stat. Data Anal., 2011)

Optimal level sets for bivariate density representation. - Pedro Delicado; Philippe Vieu (J. Multivar. Anal., 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)

Choosing the most relevant level sets for depicting a sample of densities. - Pedro Delicado; Philippe Vieu (Comput. Stat., 2017)

Understanding complex predictive models with Ghost Variables. - Pedro Delicado; Daniel Peña (CoRR, 2019)

Functional relevance based on the continuous Shapley value. - Pedro Delicado; Cristian Pachón-García (CoRR, 2024)

SurvLIMEpy: A Python package implementing SurvLIME. - Cristian Pachón-García; Carlos Hernández-Pérez; Pedro Delicado; Verónica Vilaplana (Expert Syst. Appl., 2024)

When are they coming? Understanding and forecasting the timeline of arrivals at the FC Barcelona stadium on match days. - Feliu Serra-Burriel; Pedro Delicado; Fernando M. Cucchietti; Eduardo Graells-Garrido; Alex Gil; Imanol Eguskiza Martínez (Mach. Learn., 2024)