Publications

Publications in Journals
  • Acosta, J., Vallejos, R., Osorio, F., Ellison, A., de Castro, M. (2024). Comparing two spatial variables with the probability of agreement.
    Biometrics 80, ujae009.
  • Gómez, J., Acosta, J., Vallejos, R., (2024). Correlation integral for stationary Gaussian time series.
    Sankhya A 86, 191-214.
  • Pérez, J., Acosta, J., Vallejos, R., (2023). Assessing the estimation of nearly singular covariance matrices for modelling spatial variables.
    Electronic Journal of Statistics 17, 3287-3315.
    • Socha, J., Hawrylo, P., Tyminska-Czabanska, L., Reineking, B., L., Lindner, M., Netzel, P., Grabska-Szwagrzyk, E., Vallejos, R., Reyer, C. (2023). Higher site productivity and stand age enhance forest susceptibility to drought-induced mortality.
    Agricultural and Forest Meteorology 341, 109680.
  • Osorio, F., Vallejos, R. , Barraza, W., Ojeda, S., Landi, M. (2022). Statistical estimation of the structural similarity index for image quality assessment.
    Signal, Image and Video Processing 16, 1035–1042. Video Abstract
  • Vidal, G., Yuz, J., Vallejos, R. , Osorio, F. (2022). Point-process modeling and divergence measures applied to the characterization of passenger flow patterns of a metro system.
    IEEE Access 10, 26529-26540.
  • Papaterra, M., Ojeda, S., Landi, M., Vallejos, R. (2021). Strategy for selecting a quality index for images.
    International Journal of Computer Information Systems and Industrial Management Applications 13, 348-363.
  • Vallejos, R., Acosta, J. (2021). Effective sample size for multivariate spatial processes with an application to soil contamination.
    Natural Resource Modeling, 34, e12322.
  • Acosta, J., Alegría, A., Osorio, F., Vallejos, R. (2021). Assessing the effective sample size for large spatial datasets: A block likelihood approach.
    Computational Statistics and Data Analysis 162, 107282.
  • Vallejos, R. , Pérez, J., Ellison, A., Richardson, A. (2020). A spatial concordance correlation coefficient with an application to image analysis.
    Spatial Statistics 40, 100405.
  • Vallejos, R. , Garate, A., Gomez, M. (2019). Comovement Among Returns of Private Chilean Pension System.
    International Review of Applied Economics 33, 228-240.
  • Vallejos, R., Buckley, H., Case, B., Acosta, J., Ellison, A.M. (2018) Sensitivity of Codispersion to Noise and Error in Ecological and Environmental Data.
    Forests 2018, 9, 679. pdf
  • 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.
  • Acosta, J., Vallejos, R. (2018). Effective sample size for spatial regression processes.
    Electronic Journal of Statistics 12, 3147-3180.
  • 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.
  • Acosta, J., Vallejos, R. , Griffith, D. (2018). On the effective geographic sample size.
    Journal of Statistical Computation and Simulation 88, 1958-1975.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Vallejos, R. , Ojeda, S. (2015). A conversation with Oscar Bustos (with comments).
    Chilean Journal of Statistics 6, 81-94.
  • 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.
  • 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.
  • Vallejos, R. , Osorio, F., (2014). Effective sample size for spatial process models.
    Spatial Statistics 9, 66-92. Video Abstract
  • 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.
  • 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.
  • 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
  • Vallejos, R. (2012). Testing for the absence of correlation between two spatial or temporal sequences.
    Pattern Recognition Letters 33, 1741-1748.
  • Ojeda, S., Vallejos, R. , Lamberti, P. (2012). Measure of similarity between images based on the codispersion coefficient.
    Journal of Electronic Imaging 21, 023019.
  • Ojeda, S., Vallejos, R. , Bustos, O. (2010). A new image segmentation algorithm with applications to image inpainting.
    Computational Statistics & Data Analysis 54, 2082-2093.
  • 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.
  • 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.
  • Vallejos, R. (2008). Assesing the association between two spatial or temporal sequences.
    Jounal of Applied Statistics 35, 1323-1343.
  • Rukhin A., Vallejos, R. (2008). Codispersion coefficient for spatial and temporal series.
    Statistics & Probability Letters 78, 1290-1300.
  • Vallejos R., Garcia-Donato, G. (2006). Bayesian analysis of quarter plane moving average models.
    Journal of Statistical Computation and Simulation 76, 131-147.
  • 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.
  • Ojeda, S., Vallejos, R. , Lucici, M., (2002). Performance of Robust RA Estimator for Bidi- mensional Autoregressive Models.
    Journal of Statistical Computation and Simulation 72, 47-62.
  • Ojeda, S., Vallejos, R. , Lucini, M. (2001). Estimacion robusta en modelos para imágenes.
    Información Tecnológica, 12, 139-144.
  • Allende, H., Galbiati, J., Vallejos, R. (2001). Robust image modeling on image processing.
    Pattern Recognition Letters, 22, 1219-1231
  • Allende, H., Galbiati, J., Vallejos, R. (1998). Digital image restoration using autoregressive time series models.
    Bolletin European Spatial Agency, 434, 53-59.
Book
  • Vallejos, R. , Osorio, F., Bevilacqua, M. (2020). Spatial Relationships Between Two Georeferenced Variables: With Applications in R.
    Springer, Berlin. Video Abstract

Chapters
  • 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, http://dx.doi.org/10.5772/50513. pdf file
Proceedings
  • 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
  • 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
  • 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
  • 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
  • Vallejos, R. , Moreno, C. (2011). Effective Sample Size in Spatial Modeling.
    Int. Statistical Inst.: Proc. 58th World Statistical Congress, 2011, Dublin (Session CPS029). pdf
  • Miranda, M., Vallejos, R. (2009). Testing Spatial Isotropy by Using a Nonparametric Bootstrap Approach.
    Proceedings of StatGIS. Milos, Greece. pdf
  • 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
  • Vallejos, R. , Acosta, J., Sepúlveda, B. (2024). Estimation of the rotation angle between two images by using the angular cross-variogram. (submitted).
  • Vallejos, R. Vásquez, A., Ferrer, C., Díaz, R., Marín, T. (2024). Modeling First-Year Engineering Student Performance During the Pandemic (submitted).
  • Ferrer, C., Vallejos, R. (2024). Is the effective sample size always less than n? (working paper).