Pedro Delicado: Research activity.

Topics of interest:

• Functional Data Analysis, Spatial Statistics for Functional Data
• Nonparametric Statistics and Smoothing Techniques
  
• Distance based statistical methods
• Principal Curves
• Dimensionality reduction
• Resampling Methods
• Big Data
• Applications of Statistics to real problems
  

Published papers included in the Web of Science (article in journals with JCR Impact Factor)

1. Acar-Denizli, N., Delicado, P., Basarir, G. and Caballero, I. (2018) Functional regression on remote sensing data in oceanography. Environmental and Ecological Statistics. 25, 277–304. DOI: 10.1007/s10651-018-0405-7 Full-text view-only version of the paper
2. Delicado, P. and P. Vieu (2017) Choosing the most relevant level sets for depicting a sample of densities. Computational Statistics. 32 (3) 1083–1113. DOI: 10.1007/s00180-017-0746-y
3. Chen, K., Delicado, P. and Müller, H.-G. (2017), Modelling function-valued stochastic processes, with applications to fertility dynamics. Journal of the Royal Statistical Society: Series B (Statistical Methodology). 79 (1), 177-196. DOI: 10.1111/rssb.12160
4. Boj, E., A. Caballe, P. Delicado, A. Esteve and J. Fortiana, (2016) Global and local distance-based generalized linear models. TEST. 25 (1) 170-195. DOI 10.1007/s11749-015-0447-1
   
5. Delicado, P. and P. Vieu (2015) Optimal level sets for bivariate density representation. Journal of Multivariate Analysis. 140, 1-18. DOI:10.1016/j.jmva.2015.04.005
6. Delicado, P., Hernández, A. and Lugosi, G. (2014) Data-based decision rules about the convexity of the support of a distribution. Electronic Journal of Statistics, 8, 96-129. DOI: 10.1214/14-EJS877
7. Amela, I., Delicado, P., Gomez, A., Querol, E. and Cedano, J. (2013) A Dynamic Model of the Proteins that Form the Initial Iron-Sulfur Cluster Biogenesis Machinery in Yeast Mitochondria. The Protein Journal, 32 (3), 183-196.
   DOI: 10.1007/s10930-013-9475-4
8. Giraldo, R., Delicado, P. and Mateu, J. (2012) geofd: An R package for function-valued geostatistical prediction. Revista Colombiana de Estadística. 35 (3), 385-407. (Link to the journal)
   
9. Giraldo, R., Delicado, P. and Mateu, J. (2012) Hierarchical clustering of spatially correlated functional data. Statistica Neerlandica. 66, (4), 403–421  doi: 10.1111/j.1467-9574.2012.00522.x
10. Comas, C., Mateu, J. and Delicado, P. (2011) On tree intensity estimation for forest inventories: some statistical issues. Biometrical Journal, 53, 994-1010. DOI: 10.1002/bimj.201000193.
11. Comas, C., Delicado, P. and Mateu, J. (2011) A second order approach to analyse spatial point patterns with functional marks. TEST. 20, 503–523. doi: 10.1007/s11749-010-0215-1
12. Delicado, P. (2011) Dimensionality reduction when data are density functions. Computational Statistics and Data Analysis, 55 (1), 401-420. (Abstract and preview). doi: 10.1016/j.csda.2010.05.008
    
13. Giraldo, R., Delicado, P. and Mateu, J. (2011) Ordinary kriging for function-valued spatial data. Environmental and Ecological Statistics, 18, 411-426. (Abstract). DOI: 10.1007/s10651-010-0143-y (Firts authors' version http://hdl.handle.net/2117/1099)
14. Amela, I., Delicado, P., Gomez, A., Bonas, S., Querol, E. and Cedano, J. (2010) DockAnalyse: an application for the analysis of protein-protein interactions. BMC Structural Biology, 10:37, DOI: 10.1186/1472-6807-10-37.
    
15. Delicado, P., Giraldo, R., Comas, C. and Mateu, J. (2010) Statistics for spatial functional data. Environmetrics. Volume 21, Issue 3-4, pages 224-239. (Abstract) doi: 10.1002/env.1003 (Firts authors' version  http://hdl.handle.net/2117/2446.)
16. Giraldo, R., Delicado, P. and Mateu, J. (2010) Continuous Time-Varying Kriging for Spatial Prediction of Functional Data: An Environmental Application.  Journal of Agricultural, Biological, and Environmental Statistics (JABES).  15 (1), 66-82. DOI: 10.1007/s13253-009-0012-z
    (First authors' veirsion http://hdl.handle.net/2117/2167.)
17. Boj, E., Delicado, P. and Fortiana, J. (2010) Distance-based local linear regression for functional predictors. Computational Statistics and Data Analysis, 54 (2) 429-437. (Abstract)  doi:10.1016/j.csda.2009.09.010 (Firts authors' version PDF file).
18. González, J. R., Peña, E. and Delicado, P. (2010) Confidence intervals for median survival time with recurrent event data. Computational Statistics and Data Analysis, 54 (1) 78-89. (Abstract) doi: 10.1016/j.csda.2009.07.012
19. Almansa, J. and Delicado, P (2009) Analysing musical performance through functional data analysis: rhythmic structure in Schumann’s Träumerei. Connection Science. Volume 21, Issue 2 & 3, pages 207 - 225. (Authors' version PDF flie)
20. Delicado, P. and Smrekar, M. (2009) Measuring non-linear dependence for two random variables distributed along a curve. Statistics and Computing, 19 (3), 255-269. doi: 10.1007/s11222-008-9090-y
    (First authors' version: PDF file).
21. Delicado, P. and Goria, M. (2008) A small sample comparison of maximum likelihood, moments and L-moments methods for the asymmetric exponential power distribution. Computational Statistics and Data Analysis, 52 (3) 1661-1673. doi: 10.1016/j.csda.2007.05.021.
    (First authors' version: PDF file).
22. Cedano, J.,  Huerta, M., Estrada, I., Ballllosera, F., Conchillo, O., Delicado, P. and Querol, E. (2007) A web server for automatic analysis and extraction of relevant biological knowledge. Computers in Biology and Medicine, 37 (11) 1672-1675  (Abstract, PDF)
    
23. Delicado, P. (2007) Functional k -sample problem when data are density functions. Computational Statistics, 22 (3) 391-410. (Abstract, PDF)
    
24. Delicado, P. (2006) Local likelihood density estimation based on smooth truncation. Biometrika, 93 (2) 472–480. (Abstract, PDF)
    (Working paper previous extended version)
25. Udina, F. and Delicado, P. (2005) Estimating parliamentary composition through electoral polls. Journal of the Royal Statistical Society: Series A (Statistics in Society), 168, 387-399. (PDF file ).
26. Delicado, P. and Romo, J. (2004) Random coefficient regressions: Parametric goodness-of-fit. Journal of Statistical Planning and Inference, 119 (2), 377-400. 
    
27. Delicado, P.  and del Río, M. (2003) A Generalization of Histogram Type Estimators. Journal of Nonparametric Statistics, 15 (1), 113-135. 
    (Working paper previous version: Economics Working Paper 422, UPF.)
28. Delicado, P. and Huerta, M. (2003) Principal Curves of Oriented Points: Theoretical and computational improvements. Computational Statistics, 18 (2) 293-315.
    (Extended version: Document de recerca EIO (UPC) DR 2002/06.)
29. Castro, F., Delicado, P. and da Rocha, J.M. (2002)  Desperately seeking theta's: Estimating the distribution of consumers under increasing  block rates. Journal of Regulatory Economics, 22 (1), pp. 29-58.
(Working paper version: Economics Working Paper 250, UPF.)
30. Delicado, P. and Placencia, I. (2001) Comparing empirical distributions of p-values from simulations.  Communications in Statistics. Simulation and Computation, 30 (2), pp. 403-422.
(Working paper version: Economics Working Paper 210, UPF. )

31. Delicado, P.(2001) Another look at principal curves and surfaces. Journal of Multivariate Analysis, 77, 84-116.
    
(PDF file ). (Extended working paper version: Economics Working Paper 309, UPF. )

32. Arana, E., Delicado, P. and Martí-Bonmatí, L. (1999) Validation Procedures in Radiological Diagnostic Models. Neural Network and Logistic Regression. Investigative Radiology, 34, 636-642.
(Working paper version: Economics Working Paper 414, UPF.)

33. Delicado, P. and Romo, J. (1999) Goodness of fit test in random coefficient regression models. Annals of the Institute of Statistical Mathematics, 51, 125-148.
    
34. Delicado, P. and Justel, A. (1999) Forecasting with missing data: Application to coastal wave heights. Journal of Forecasting, 18, 285-298.
    
(Working paper version: Economics Working Paper 213, UPF.)

35. Delicado, P. and del Río, M. (1997) Weighted nonparametric regression. Communications in Statistics. Theory nd methods, 26(12), 2983-2998.
    
(Working paper version: Economics Working Paper 164, UPF.)

36. Delicado, P. and del Río, M. (1994) Bootstrapping the general linear hypothesis tests. Computational Statistics and Data Analysis, 18, 305-316.

1. Delicado, P. (2019) Comments on: Data science, big data and statistics. TEST. 28 (2) 334-337. DOI: 10.1007/s11749-019-00651-9
2. Acar-Denizli, N., Delicado, P., Basarir, G. and Caballero, I. (2017) Functional linear regression models for scalar responses on remote sensing data: an application to Oceanography. In Functional Statistics and Related Topics. Springer Series: Contributions to Statistics. Eds. Aneiros, G., Bongiorno, E. G., Cao, R. and Vieu, P., pp. 15–21. ISBN: 978-3-319-55845-5 5.
3. Delicado, P. (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. Statistical Methods and Applications. 24 (2), 329-333. DOI 10.1007/s10260-015-0320-0
4. Delicado, P. (2011) Dimensionality reduction for samples of bivariate density level sets: an application to electoral results. In Recent Advances in Functional Data Analysis and Related Topics. Springer Series: Contributions to Statistics. Ed. Ferraty, F., pp. 71--76. ISBN: 978-3-7908-2736-1
5. Amela, I., Cedano, J., Delicado, P. and Querol, E. (2009) Friedreich ataxia: a computational dynamic model of the key proteins involved in the yeast Fe-S cluster biogenesis. NEW BIOTECHNOLOGY, 25, Supplement 1, pp. S342–S343.
6. Delicado, P., Giraldo, R. and Mateu, J. (2008) Point-wise Kriging for spatial prediction of functional data. In Functional and Operatorial Statistics. Springer Series: Contributions to Statistics. Eds. Dabo-Niang, S. and Ferraty, F., pp. 135--142. ISBN: 978-3-7908-2062-1
7. Boj, E., Delicado, P. and Fortiana, J (2008) Local Linear Functional Regression based on Weighted Distance-Based Regression. In Functional and Operatorial Statistics. Springer Series: Contributions to Statistics}. Eds. Dabo-Niang, S. and Ferraty, F., pp. 57--63. ISBN: 978-3-7908-2062-1
8. Delicado, P. and Smrekar, M. (2007) Mixture of nonlinear models: A Bayesian fit for principal curves. In Proceedings of the International Joint Conference on Neural Networks, Pp. 195-200. Orlando, Florida, USA. ISBN: 978-1-4244-1380-5. DOI: 10.1109/IJCNN.2007.4370954. (Abstract , PDF file).

1. Delicado, P. y Udina, F. (2001) ¿Cómo y cuánto fallan los sondeos electorales? Revista Española de Investigaciones Sociológicas. 96, pp. 123-150. (PDF file) (Working paper version: Documento de trabajo EIO (UPC) DR 2001/02)

1. Giraldo, R., Delicado, P. and Mateu, J. (2017) Cokriging and multivariate kriging methods based on data of a functional random field. Comunicaciones en Estadstica. 10, pp. 315-344. (Link to the journal)

1. Aluja, T. y Delicado, P.F. (2004) Modelización Estadística Paramétrica. En Introducción a la Minería de Datos, Hernández-Orallo, J.,  Ramírez-Quintana, M.José y Ferri, Cèsar, editores. Pp. 166-212. Prentice Hall / Addison-Wesley (Madrid).
2. Delicado, P.F. y Aluja, T. (2004) Modelización Estadística No Paramétrica. En Introducción a la Minería de Datos, Hernández-Orallo, J.,  Ramírez-Quintana, M.José y Ferri, Cèsar, editores.Pp. 213-236. Prentice Hall / Addison-Wesley (Madrid).
3. Delicado, P. (1999) New statistical methods for archaeological research. In New Techniques for Old Times. Computer Applications in Archaeology, J. A. Barceló, editor. British Archaeological Reports International Series. ArchaeoPress, Oxford.
4. Mercader Prats, M. i Delicado, P. (1999) La dimensió econòmica de la pobresa a catalunya, 1973-1990. En Les desigualtats socials a Catalunya, Col·lecció Polítiques, 24, Editorial Mediterrània.

1. Boj, E., P. Delicado, J. Fortiana, A. Esteve and A. Caballé (2011) dbstats R package: Distance based statistics. http://cran.r-project.org/web/packages/dbstats/
   
2. Giraldo, R., Delicado, P. and Mateu, J. (2010)  geofd R package: Spatial prediction for function value data. https://cran.r-project.org/web/packages/geofd/
   

Working Papers (submitted for evaluation):

1. Doval, E. and Delicado, P. (2018) Identifying and Classifying Aberrant Response Patterns by Functional Data Analysis. Submitted.
   

Other working papers:

• Delicado, P. and Broner, S. (2008) Distance-based LISA maps for multivariate lattice data. UPCommons. https://upcommons.upc.edu/handle/2117/2421
  
• Aluja, T. and Delicado, P. (2003) Principal Curves for correcting the horseshoe effect in Correspondence Analysis. (Postscript version).
• Delicado, P. and Romo, J. (1998) Constant coefficient tests for random coefficient regression. Economics Working Paper 329, UPF.
• Delicado, P (1994) Using bootstrap to derive a prior distribution. Universidad Carlos III, Working Paper 94-07(05).
• Delicado, P (1992) Noparam: Estimacion funcional no parametrica. Un acercamiento del software CURVDAT al usuario. Universidad Carlos III, Working Paper 92-06, (In Spanish).