Publications in Journals

  1. Vallejos, R., Garate, A., Gomez, M. (2018). Comovement Among Returns of Private Chilean Pension System.
    International Review of Applied Economics (in press).

  2. Vallejos, R., Acosta, J., Ellison, A., Buckley, H., Case, B. (2018). Sensitivity of codispersion to noise and error in ecological environmental data.
    Forests 9, 1-22.

  3. Pistonesi, S., Martinez, J., Ojeda, S. M., Vallejos, R. (2018). Structural Similarity Metrics for Quality Image Fusion Assessment: Algorithms.
    Image Processing On Line 8, 245-368.

  4. Acosta, J., Vallejos, R. (2018). Effective sample size for spatial regression processes.
    Electronic Journal of Statistics 12, 3147-3180.

  5. Vallejos, R., Yandun, F., San Martín, Escobar, V., Román, C., Auat Cheein, F. (2018).
    Assessing the estimation of trawling catches by using LiDAR sensor technology.
    Ocean and Coastal Management 165, 99-108.

  6. Acosta, J., Vallejos, R., Griffith, D. (2018). On the effective geographic sample size.
    Journal of Statistical Computation and Simulation 88, 1958-1975.

  7. Ojeda, S., Britos, G., Vallejos, R. (2018). An image quality index based on coefficients of spatial association with an application to image fusion.
    Spatial Statistics 23, 1-16.

  8. Acosta, J., Osorio, F., Vallejos, R. (2016). Effective sample size for line transect models with an application to marine macroalgae.
    Journal of Agricultural, Biological and Environmental Statistics 21, 407-425.

  9. Vallejos, R., Mancilla, D., Acosta, J. (2016). Image similarity assessment based on measures of spatial association.
    Journal of Mathematical Imaging and Vision 56, 77-98.

  10. Buckley, H., Bradley, S., Vallejos, R., Camarero, J., Liang, E., Wang, Y., Elisson, A. (2016). Detecting ecological patterns along environmental gradients: alpine treeline ecotones.
    Chance 29, 10-15.

  11. Bevilacqua, M., Vallejos, R., Velandia, D. (2015). Assessing the significance of the correlation between the components of a bivariate Gaussian random field. Environmetrics 26, 545-556.

  12. Vallejos, R., Ojeda, S. (2015). A conversation with Oscar Bustos (with comments).
    Chilean Journal of Statistics 6, 81-94.

  13. Vallejos, R., Osorio, F., Mancilla, D. (2015). The codispersion map: a graphical tool to visualize the association between two spatial processes.
    Statistica Neerlandica 69, 298-314.

  14. Vallejos, R., Mallea, A., Herrera, M., Ojeda., (2015). A multivariate geostatistical approach for landscape classification from remotely sensed image data. Stochastic Environmental Research and Risk Assessment 29, 369-365.

  15. Vallejos, R., Osorio, F., (2014). Effective sample size for spatial process models.
    Spatial Statistics 9, 66-92.

  16. Vallejos, R., Batista, V.S., Fabré, N.N., Acosta, J. (2013). The application of a general time series model to floodplain fisheries in the Amazon.
    Environmental Modelling and Software 48, 202-212.

  17. Cuevas, F., Porcu, E., Vallejos, R. (2013). Study of spatial relationships between two sets of variables: A nonparametric approach.
    Journal of Nonparametric Statistics 25, 695-714.

  18. Acevedo, C., Cornejo, M., Olguín, Y., Vallejos, R., Brown, D. (2013). Dehydrogenase enzymes associated to glycolysis 1 in beef carcasses stored at 0ºC.
    Food and Bioprocess Technology 6, 1696-1702

  19. Vallejos, R. (2012). Testing for the absence of correlation between two spatial or temporal sequences.
    Pattern Recognition Letters 33, 1741-1748.

  20. Ojeda, S., Vallejos, R., Lamberti, P. (2012). Measure of similarity between images based on the codispersion coefficient.
    Journal of Electronic Imaging 21, 023019.

  21. Ojeda, S., Vallejos, R., Bustos, O. (2010). A new image segmentation algorithm with applications to image inpainting.
    Computational Statistics & Data Analysis 54, 2082-2093.

  22. Bustos,O.,Ojeda, S.,Vallejos, R. (2009). Spatial ARMA models and its applications to image filtering.
    Brazilian Journal of Probability and Statistics 23, 141-165.

  23. Bustos, O., Ojeda, S., Ruiz, M.,Vallejos, R., Frery, A. (2009). Asymptotic behavior of RA-estimates in autoregressive 2D gaussian processes.
    Jounal of Statistical Planning and Inference 139, 3649-3664.

  24. Vallejos, R. (2008). Assesing the association between two spatial or temporal sequences.
    Jounal of Applied Statistics 35, 1323-1343.

  25. Rukhin A., Vallejos, R. (2008). Codispersion coefficient for spatial and temporal series.
    Statistics & Probability Letters 78, 1290-1300.

  26. Vallejos R., Garcia-Donato, G. (2006). Bayesian analysis of quarter plane moving average models.
    Journal of Statistical Computation and Simulation 76, 131-147.

  27. Vallejos, R., Mardesic, T. (2004) A recursive algorithm to restore images based on robust estimation of NSHP autoregressive models.
    Journal of Computational and Graphical Statistics 13, 674-682.

  28. Ojeda, S., Vallejos, R., Lucini, M. (2002). Performance of robust RA estimator for bidimensional autoregressive models.
    Journal of Statistical Computation and Simulation, 72, 47-62.

  29. Allende, H., Galbiati, J., Vallejos, R. (2001). Robust image modeling on image processing.
    Pattern Recognition Letters, 22, 1219-1231.

  30. Ojeda, S., Vallejos, R., Lucini, M. (2001). Estimacion robusta en modelos para imagénes.
    Información Tecnológica, 12, 139-144.

  31. Allende, H., Galbiati, J., Vallejos, R. (1998). Digital image restoration using autoregressive time series models.
    Bolletin European Spatial Agency, 434, 53-59.

Book in Preparation

  1. Vallejos, R., Osorio, F., Bevilacqua, M. (2018). Spatil Relationships Between Two Georeferenced Variables: With Applications in R.
    To appear in Springer. Number of pages ≈ 230.


  1. Vallejos, R., Ojeda, S. (2012). Image Segmemtation and Time Clustering Series Based on Spatial and Temporal ARMA Processes.
    Advances in Image Segmentation", InTech Publications, ISBN 980-953-307-581-0, pdf


  1. Vallejos, R., Pérez, J., Ellison, A., Richardson, A. (2018). Constructing a spatial concordance correlation coefficient.
    Proceesings of the 9th International Workshop on Spatio-Temporal Modelling. Montpellier, France, 13-15 June, 2018.
    Edited by L. Bell and J. Mateu. pp. 49-52. pdf

  2. Vallejos, R., Acosta, J., (2016). Spatial effective sample size for regression models.
    Proceesings of the 8th International Workshop on Spatio-Temporal Modelling. Valencia, Spain, 1-3 June, 2016.
    Edited by A. Iftimi and J Mateu. pp. 145-147. pdf

  3. Pistonesi, S., Martinez, J., Ojeda S., Vallejos, R. (2015). A novel quality image fusion assessment based on maximum codispersion.
    CIARP 2015, Uruguay: pp. 383-390. pdf

  4. Cuevas, F., Porcu, E., Vallejos, R. (2013). A nonparametric study of the spatial association between forest variables.
    Proceedings of the 28th International Worshop on Statistical Modelling, July 8-12, Palermo, Italy. pdf

  5. Vallejos, R., Moreno, C. (2011). Effective Sample Size in Spatial Modeling.
    Int. Statistical Inst.: Proc. 58th World Statistical Congress, 2011, Dublin (Session CPS029). pdf

  6. Miranda, M., Vallejos, R. (2009). Testing Spatial Isotropy by Using a Nonparametric Bootstrap Approach.
    Proceedings of StatGIS. Milos, Greece. pdf

  7. Vallejos, R., Miranda, M. (2009). The Codispersion Coefficient: An Application in the Evaluation of the Performance of Different Spatial Interpolators.
    Proceedings of StatGIS. Milos, Greece. pdf

Work in Progress

  1. Vallejos, R., Barraza, W., Osorio, F., Ojeda, S., Landi, M. (2018).
    Estimation of the structural similarity index for remote sensing data (submitted).