Publications

Papers and Book Chapters

2024

1. Meléndez, R., Giraldo, R.  Rodríguez, F.  Kruskal-Wallis test for functional data based on random projections generated from a simulation of a Brownian motion.  Tecnológicas, 27 (59), e2896, 1-11.  ISSN: 0123-7799.

2. Cruz, L., Blanco, J., Giraldo, R.  Bootstrap versus Jackknife. Confidence intervals, hypothesis testing, density estimation and kernel regression.  Ciencia en Desarrollo,  15(2),   ISSN: 0121-7488.

3. Giraldo, R., Zarruk, A., Riveros, E. Burr XII distribution with truncated and censored data: Maximum likelihood estimation based on Newton-Raphson method. Ciencia en Desarrollo,  15(2),  ISSN: 0121-7488.

4. Morales, C., Uzeta, M., Ramírez, M., Giraldo, R. Ten years of an external quality control program in clinical microbiology. A statistical analysis of the results.   Accreditation and Quality Assurance, 29, 115-127. https://doi.org/10.1007/s00769-023-01566-7

5. Cortés-Delgadillo, L., Camacho-Tamayo, J., Giraldo, R. Analysis and spatial prediction of water retention curves in two types of soil.  Revista Brasileira de Engenharia Agrícola e Ambiental,  28 (3), e277718, 1-8.

2023

1. Giraldo, R., Leyva, V., Castro, C. An overview of kriging and cokriging methods for functional data. Mathematics, 11(15), 3425, https://doi.org/10.3390/math11153425. ISSN: 2227-7390. 

2. González, V., Giraldo, R., Leiva, V.  PLS1-MD: A partial least squares regression algorithm for solving missing data problems.  Chemometrics and Intelligent Laboratory Systems, https://doi.org/10.1016/j.chemolab.2023.104876

3. Londoño, M., Giraldo, R., Rodríguez-Cortés, F.  An RBF-FD method for the time fractional advection-dispersion equation with nonlinear source term. Engineering Analysis with Boundary Elements, 151,  565-574. https://doi.org/10.1016/j.enganabound.2023.03.014 

4. Giraldo, R., Leyva, V., Christakos, G. Leverage and Cook distance in regression with geostatistical data: methodology, simulation, and applications related to geographical information. International Journal of Geographical Information Science, 37 (3), 607-633. https://doi.org/10.1080/13658816.2022.2131790. ISSN:1365-8816 

5. Vargas, R., Galindo, J., Giraldo, R., Varón, V., Wilches, W., Franco, C.  Interpolation and spatial prediction methodologies for the analysis of the physical properties of the soil in the hoya del río Suárez, Colombia. Revista Digital Siembra. 10(1), 1-12. https://doi.org/10.29166/siemmbre.v.10i1.4181. ISSN: 1390-8928.

2022

1. Dueñas, M., Giraldo, R.  Multivariate spatial prediction based on Andrews curves and functional geostatistics.  Chilean Journal of Statistics, 13(1), 3-16.

2. Cuadrado-Silva, C., Muñoz-González, C., Giraldo, R., Del Pozo-Bayón, M., Osorio, C. Bioconversion of Glycosidic Precursors from Sour Guava (Psidium friedrichsthalianum Nied.) Fruit by the Oral Microbiota into Odor-Active Volatile Compounds. Molecules, 27, 1269.  https://doi.org/10.3390/molecules27041269. ISSN:1420-3049. 

3. Romano, E., Giraldo, R., Mateu, J., Diana, A. High leverage detection in general functional regression models with spatially correlated errors. Applied Stochastic Models in Business and Industry, 38, 169-181. DOI: 10.1002/asmb.2654.  ISSN: 1526-4025.  

4. Caballero, Y., Giraldo, R., Mateu, J.  A spatial randomness test based on the box-counting dimension. AStA Advances in Statistical Analysis. 106, 499-524. ISSN: 1863-8171. DOI: 10.1007/s10182-021-00434-4 

5. Giraldo, R., Mateu, J.  Introduction to Geostatistical Functional Data Analysis, 1-22. Geostatistical Functional Data Analysis: Theory and Methods. Mateu, J. & Giraldo, R. (eds.), J. Wiley & Sons, Chichester, UK. ISBN: 978-1-119-38784-8. 

6. Bohorquez, M., Giraldo, R., Mateu, J.  Spatial prediction and optimal sampling for multivariate functional random fields, 322-349. Geostatistical Functional Data Analysis: Theory and Methods. Mateu, J. & Giraldo, R. (eds.), J. Wiley & Sons, Chichester, UK. ISBN: 978-1-119-38784-8.

7. Giraldo, R., Porcu, E. Testing for normality in geostatistics. A new approach based on the Mahalanobis distance: A discussion on the use of univariate normality tests in this context. Ciencia en Desarrollo,  13(2),  99-112.  ISSN:0121-7488.

2021

1. Meléndez, R., Giraldo, R., Leiva, V. Sign, Wilcoxon, and Mann-Whitney tests for functional data: An approach based on random projections. Mathematics, 9(1), 44. ISSN: 2227-7390.

2. Morales, C., Giraldo, R., Torres, M. 2021. Boxplot fences in proficiency testing.  Accreditation and Quality Assurance. https://rdcu.be/cv3mv. ISSN: 0949-1775.

3. Vargas, R.,  Galindo, J.  Giraldo, R. 2021. Spatial analysis of soil physical properties in the Suárez river watershed, Boyacá-Santander (Colombia), using principal components analysis. Investigación Agraria, 23(1), 8-16. http://www.agr.una.py/revista/index.php/ria/article/view/657

2020

1. Giraldo, R., Herrera, L., Leiva, V. Cokriging prediction using as secondary variable a functional random field with application in environmental pollution. Mathematics, 8(8), 1305. ISSN: 2227-7390.

2. Morales, C. and Giraldo, R. 2020. Reference versus consensus values in proficiency testing of clinical chemistry: a statistical comparison based on laboratories results in Colombia. Accreditation and Quality Assurance, 25(2), 99-05. ISSN: 0949-1775.

2019     

1. Martínez, S., Giraldo, R., Leiva, V. 2019. Birnbaum-Saunders functional spatial regression models. Stochastic Environmental Research and Risk Assessment, 33(10), 1765-1780. ISSN: 1436-3240.

2. Aristizabal, J., Giraldo, R., Mateu, J. 2019. Analysis of variance for spatially correlated functional data: application to brain data. Spatial Statistics, Article 100381. ISSN: 2211-6753.

3. Ospína-Galíndez, J., Giraldo, R. and Andrade-Bejarano, M. 2019. Functional regression concurrent model with spatially correlated errors. Journal of Applied Statistics, 46(8), 1350-1363. ISSN: 0266-4763.

4. Pineda-Ríos, W., Giraldo, R., Porcu, E. 2019. Functional SAR models: with application to spatial econometrics. Spatial Statistics, 29, 145-159. ISSN: 2211-6753.

2018  

1. Cortés-Delgadillo, D., Camacho-Tamayo, J., Giraldo, R. 2018. Spatial prediction of soil infiltration using functional geostatistics. Acta Universitatis Carolinae, Geographica, 53(2), 149-155. ISSN: 0300-5402.

2. Giraldo, R., Dabo-Niang, S., Martínez, S. 2018. Statistical modeling of spatial big data: An approach from a functional data analysis perspective.  Statistics and Probability Letters, 136, 126-129. ISSN: 0167-7152.

3. Ballari, D., Giraldo, R., Campozano, L., Samaniego, E. 2018. Spatial functional data analysis for regionalizing precipitation seasonality and intensity in a sparsely monitored region: unveiling the spatiotemporal dependencies of precipitation in Ecuador. International Journal of Climatology,  38, 3337-3354, ISSN: 1097-0088.

4. Giraldo, R., Caballero, W., Camacho-Tamayo, H. 2018. Mantel test for spatial functional data: An application to infiltration curves. AStA Advances in Statistical Analysis, 102(1), 21-39. ISSN: 1863-8171.

2017

1. Giraldo, R. Delicado, P., Mateu, J. 2017. Spatial prediction of a scalar variable based on data of a functional random field.  Comunicaciones en Estadística,  10(2), 315-344. ISSN: 2027-3355.Download

2. Bohorquez, M., Giraldo, R., Mateu, J. 2017. Multivariate functional random fields: prediction and optimal sampling. Stochastic Environmental Research and Risk Assessment, 31(1), 53-70. ISSN: 1436-3240.

3. Alonso, C. Porcu, E., Giraldo, R. 2017. Multivariate versions of walks through dimensions and Schoenberg measures. Brazilian Journal of Probability and Statistics, 31(1), 144-159. ISSN: 0103-0752. Download 

4. Giraldo, R., Pacheco, O., Orozco, A. 2017. Geostatistics applied to time series: a simulation study. Integración, 35 (1), 83-102. ISSN: 0120-419X. 

2016

1. Bohorquez, M., Giraldo, R., Mateu, J. 2016. Optimal dynamic spatial sampling. Environmetrics, 27(5), 293-305. ISSN: 1436-3240.

2. Cortés, D., Camacho-Tamayo, J., Giraldo, R. 2016. Spatial prediction of soil penetration resistance using functional geostatistics. Scientia Agricola, 73(5), 455-461. ISSN: 0103-9016. Download

3. Martínez, G., Pacheco, M., Giraldo, R. 2016. Inference in log-alpha-power and log-skew-normal multivariate models. Communications in Statistics. Theory and Methods, 45 (15), 4397-4415. ISSN: 0361-0926. 

4. Bohorquez, M., Giraldo, R., Mateu, J. 2016. Optimal sampling for spatial prediction of functional data. Statistical Methods and Applications, 25(1), 39-54. ISSN: 1618-2510.

2015

1. Romano, E., Mateu, J., Giraldo. R. 2015. On the performance of two clustering methods for spatial functional data. AStA Advances in Statistical Analysis, 99, 467-492. ISSN: 1863-8171.

2. Reyes, A., Giraldo, R.,  Mateu, J. 2015. Residual kriging for functional spatial prediction of salinity curves. Communications in Statistics, Theory and Methods, 44(4), 798-809. ISSN: 0361-0926.

3. Salazar, E., Giraldo, R., Porcu, E. 2015. Spatial prediction for infinite-dimensional compositional data. Stochastic Environmental Research and Risk Assessment, 29:1737–1749. ISSN: 1436-3240

4. Alonso, C., Porcu, E., Giraldo, R. 2015. Multivariate and multiradial Schoenberg measures with their dimension walks. Journal of Multivariate Analysis, 133, 251-265. ISNN: 0047-259X. 

5. Giraldo, R. Molina-Villarreal, A., Torres-León, J., Acosta, M. and Martínez, S. 2015. Study of spectral signatures of oil palms affected with lethal wilt, using functional data analysis. Palmas, 37 (tomo I),131-139. Download

2014

1. Giraldo, R. 2014. Cokriging based on curves. Prediction and estimation of the prediction variance. InterStat. Available at http://interstat.statjournals.net/YEAR/2014/abstracts/1405002.php. Download

2. Ignaccolo, R., Mateu, J., Giraldo, R. 2014. Kriging with external drift for functional data for air quality monitoring. Stochastic Environmental Research and Risk Assessment, 28. 1171-1186. 

2013

1. Caballero, W., Giraldo, R.,  Mateu, J. 2013. A universal kriging approach for spatial functional data. Stochastic Environmental Research and Risk Assessment, 27, 1553–1563. ISSN: 1436-3240.

2012

1. Alonso, C., Porcu, E., Giraldo, R. 2012. Discussion to the paper: Log-optimal economic evaluation of probability forecasts. Journal of the Royal Statistical Society, Series A., 175, part 3, 661-689. ISSN: 09641998. 

2. Giraldo, R., Delicado, P., Mateu, J. 2012. Hierarchical clustering of spatially correlated functional data. Statistica Neerlandica, 66 (4), 403-421. ISSN: 1467-9574

3. Giraldo, R. and Mateu, J. 2012. Kriging for functional data. Encyclopedia of Environmetrics, Second Edition. El-Shaarawi, A.H. and Piegorsch, W.W. (eds.), J. Wiley & Sons, Chichester, UK. ISBN: 9780470057339.

4. Porcu, E., Giraldo, R., Alonso, C. 2012. Discussion to the paper: Vignettes and health systems responsiveness in cross-country comparative analysis. Journal of the Royal Statistical Society, A., 175, 337-369. ISSN: 09641998.

5. Giraldo, R., Alonso, C., Porcu, E. 2012. Discussion to the paper: Quantifying the weight of evidence from a forensic fingerprint comparison: a new paradigm. Journal of the Royal Statistical Society, Series A, 175, 371-417. ISSN: 09641998

6. Giraldo, R., Delicado, P., Mateu, J. 2012. geofd: An R Package for Function-Valued Geostatistical Prediction. Revista Colombiana de Estadística, 35 (3), 385-407. Download 

2011

1. Giraldo, R., Delicado, P., Mateu, J. 2011. Ordinary kriging for function-valued spatial data. Environmental and Ecological Statistics, 18 (3), 411-426. ISSN: 1573-3009. 

2. Giraldo, R., Delicado, P., Mateu, J. 2011. Geostatistics with infinite dimensional data: a generalization of cokriging and multivariable spatial prediction. Matemática: ICM-ESPOL, 9 (1), 16-21. ISSN: 1390-3802. Download 

3. Romano, E., Giraldo, R., Mateu, J. 2011. Clustering spatially correlated functional data. In Recents advances in functional data analysis. Springer Series: Contributions to Statistics. Ferraty, F (Ed). pp 277-282. ISBN: 978-3-7908-2061-4.

2010

1. Giraldo, R., Delicado, P., Mateu, J. 2010. Continuous time-varying kriging for spatial prediction of functional data: An environmental application. Journal of Agricultural, Biological, and Environmental Statistics, 15 (1), 66-82. ISSN: 1537-2693. Download

2. Delicado, P., Giraldo, R., Comas, C., Mateu, J. 2010. Spatial statistics for functional data: Some recent contributions. Environmetrics, 21 (3-4), 224-239. ISSN: 1180-4009. Download 

3. Giraldo, R., Corzo, J. 2010. A similarity test between two dichotomous ordered sequences. Revista Colombiana de Estadística, 33, 149-166. ISSN: 0120-1751.Download 

2008

1. Valbuena, C., Martínez, L., Giraldo, R. 2008. Spatial variability of soil properties and yield relationship in a mango crop (Mangifera indica L.). Revista Brasileira de Fruticultura, 30(4), 1146-1151. ISSN: 0100-2945. Download

2007

1. Giraldo, R. 2007. Exploratory analysis of regionalized variables with functional methods. Revista Colombiana de Estadística, 30(1): 115-127. ISSN: 0120-1751. Download

2006

1. Muñoz, J., Martínez, J., Giraldo, R. 2006. The spatial variability of some soil properties and their relationship with varying production in potato crop (Solanum tuberosum L.). Agronomía Colombiana, 24(2):355-366. ISSN: 0120-9965. Download

2002

1. Giraldo, R. 2002. Proposal of an indicator as an auxiliary variable in the cokriging analysis. Revista Colombiana de Estadística, 24(1): 1-12. ISSN: 0120-1751. Download

2001

1. Giraldo, R., Méndez, N., Ospína, D. 2001. Design of a sampling network for an estuary in the Colombian Caribbean. Revista de la Academia Colombiana de Ciencias, 25(97):509-518. ISSN: 0370-3908. Download

2000

1. Giraldo, R., Troncoso, W.,  Mancera, J., Méndez, N. 2000. Geostatistics: A tool for modeling in estuaries. Revista de la Academia Colombiana de Ciencias. 24(90): 59-72. ISSN: 0370-3908. Download

1998

1. Zea, S., Giraldo, R., Mancera, E., Martínez, J. 1998. Some relationships between physico-chemical and biological variables in the Ciénaga Grande de Santa Marta, Colombian Caribbean. Boletín de Investigaciones Marinas y Costeras, 27: 67-85. ISSN: 0122-9761. Download

1997

1. Giraldo, R., Campos, N. 1997. An application of repeated measures ANOVA to model an experiment with heavy metals. Revista de la Academia Colombiana de Ciencias. 21(81):467– 472. ISSN: 0370-3908. Download

1995

1. Giraldo, R., Martínez, J., Hurtado, L., Zea, S., Madera, R. 1995. Cluster analysis of time series: The case of salinity data at Ciénaga Grande de Santa Marta. Anales del Instituto de Investigaciones Marinas. 24, 123 (34). ISSN: 0120-3959. Download

Books

1. Mateu, J., Giraldo, R (Eds). 2022. Geostatistical Functional Data Analysis: Theory and Methods. John Wiley and Sons, Chichester, UK.  ISBN: 978-1-119-38784-8.  https://www.wiley.com/en-au/Geostatistical+Functional+Data+Analysis-p-9781119387848

2. Mancera, J., Peña, E., Giraldo, R., Santos, A. 2003. Introduction to ecological modeling. Principles and procedures. Universidad Nacional de Colombia, Sede Caribe, 112 p. ISBN: 958-701-330-1. Download

 Other papers and technical documents

2016-1997

1.  Pineda, W., Giraldo, R. 2016. Functional SAR model. ArXiv e-prints. eprint arXiv:1609.03680. Download 

2. Giraldo, R. Delicado, P., Mateu, J. 2009. Geostatistics with infinite dimensional data: a generalization of cokriging and multivariable spatial prediction. Reporte interno de investigación, No 14. Departamentof Statistics, Science Faculty, Universidad Nacional de Colombia. Download 

3. Valbuena, C., Martínez, J., Giraldo, R. 2007. Spatial variability of soil properties and yield relationship in a mango crop (Mangifera indica L.) located in La Mesa Cundinamarca. Análisis Geográficos. 38, 59-72. ISSN: 0120-8551 

4. Muñoz, J., Martínez, J., Giraldo, R. 2006. Analysis of relationship between edafic and agronomic variables. Análisis Geográficos. 32, 16-28. ISSN: 0120-8551

5. Giraldo, R. 2002. Introduction to geostatistics: theory and application. Department of Statistics, Universidad Nacional de Colombia, 97 p. Download  

6. Giraldo, R. 1999. Geostatistics applied to environmental problems. Department of Statistics, Universidad Nacional de Colombia, 52 p. 

7. Giraldo, R., Rodríguez, J. 1997. Statistical methods applied to biological research. Manual training course. Revista de Divulgación Científica y Técnica. INPA. No 16. 58 p. ISSN: 0123-2886.

Proceedings

2013-2007

1. Bohorquez, M., Giraldo, R., Mateu, J. 2013. Using random projections on the optimal sampling design for functional data. XXXIV Congreso Nacional de Estadística e Investigación Operativa (SEIO-2013). J. Mateu et al. (Eds.). Universitat Jaume I, e-Treballs d'Informatica i Tecnologia, 16. ISBN: 978-84-8021-957-0.Download 

2. Giraldo, R., Delicado, P., Mateu, J. 2013. Spatio temporal kriging prediction: An approach based on functional data. XXXIV Congreso Nacional de Estadística e Investigación Operativa (SEIO-2013). J. Mateu et al. (Eds.). Universitat Jaume I, e-Treballs d'Informatica i Tecnologia, 16. ISBN: 978-84-8021-957-0.Download

3. Romano, E., Giraldo, R., Mateu, J. 2011. Clustering spatially correlated functional data. In Recents advances in functional data analysis. Springer Series: Contributions to Statistics. Ferraty, F (Ed). pp 277-282. ISBN: 978-3-7908-2061-4.

4. Giraldo, R., Delicado, P., Mateu, J. 2008. Functional kriging: total model. In Proceedings of the Eighth International Geostatistics Congress, Vol 2. Julian Ortiz & Xavier Emery (Eds.). pp. 1161-1166. Printed by Quebecor world Chile S.A. ISBN: 978-956-8504-19-9.Link

5. Giraldo, R., Delicado, P., Mateu, J. 2008. From multivariable to functional cokriging: an alternative for space-time prediction. In Statistics for Spatio-Temporal Modelling. Link ISBN: 88-6025-098-6.

6. Giraldo, R., Delicado, P., Mateu, J. 2008. Point-wise Kriging for spatial prediction of functional data. In Functional and Operatorial Statistics. Springer Series: Contributions to Statistics. Dabo-Niang, S. & Ferraty, F. (Eds.). pp 135-142. ISBN: 978-3-7908-2061-4. Link

7. Giraldo, R., Delicado, P., Mateu, J. 2007. Ordinary kriging for functional data. Proceedings of the International Workshop on Statistical Modelling (IWSM-2007). Download

8. Giraldo, R., Delicado, P., Mateu, J. 2007. Functional kriging: Concurrent model. Proceedings of the XXX Congreso Nacional de Estadística e Investigación Operativa (SEIO-2007). ISBN: 978-84-690-7249-3. Download