Publications

2015

MATEU, J. (2014). Discussion to the paper: Multiscale change point inference, by Frick, K., Munk, A. & Sieling, H. Journal of the Royal Statistical Society B, 76 (3), 495-580.
RODRIGUEZ-CORTES, F. & MATEU, J. (2015). Second-order smoothing of spatial point patterns with small sample sizes: A family of kernels. Stochastic Environmental Research and Risk Assessment, 29, 295-308.
COMAS, C., RODRIGUEZ-CORTES, F. & MATEU, J. (2015). Second-order analysis of anisotropic spatio-temporal point process data. Statistica Neerlandica, 69 (1), 49-66.
MATEU, J. & NICOLIS, O. (2015). Multiresolution analysis of linearly-oriented spatial point patterns. Journal of Statistical Computation and Simulation, 85 (3), 621-637.
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.
MELO, O.O., MATEU, J. & MELO, C.E. (2015). Distance-based beta regression for prediction of mutual funds. AStA Advances in Statistical Analysis, 99 (1), 83-106.
VLAD, I.T. & MATEU, J. (2015). A geometric approach to cancer growth prediction based on Cox processes. Journal of Statistics: Advances in Theory and Applications, 13 (1), 1-32.
BADRELDIN, N., URIA-DIEZ, MATEU, J., YOUSSEF, A., STAL, C., EL-BANA, M., MAGDY, A. & GOOSSENS, R. (2015). A spatial pattern analysis of the halophytic species distribution in an arid coastal environment. Environmental Monitoring and Assessment, 187 (5), 1-15.
MATEU, J., SCHOENBERG, F.P., DIEZ, D.M., GONZALEZ, J. & LU, W. (2015). On measures of dissimilarity between point patterns: classification based on prototypes and multidimensional scaling. Biometrical Journal, 57 (2), 340-358.
MELO, O.O., MELO, C.E. & MATEU, J. (2015). Spatial generalised linear mixed models based on distances. Statistical Methods in Medical Research. DOI: 10.1177/0962280213515792.
NICOLIS, O. & MATEU, J. (2015). Discussion to the paper: Analysis of Spatio-Temporal Mobile Phone Data: a Case Study in the Metropolitan Area of Milan. Statistical Methods and Applications. DOI: 10.1007/s10260-015-0311-1.
MATEU, J. (2015). Discussion to the paper: Analysis of forensic DNA mixtures with artefacts, by Cowell, R.G., Graversen, T., Lauritzen, S.L. & Mortera, J. Journal of the Royal Statistical Society C, 64 (1). Forthcoming.
JALILIAN, A., GUAN, Y., MATEU, J. & WAAGEPETERSEN, R. (2015). Multivariate product-shot-noise Cox point process models. Biometrics. Forthcoming.
WAAGEPETERSEN, R., GUAN, Y., JALILIAN, A. & MATEU, J. (2015). Analysis of multi-species point patterns using multivariate log Gaussian Cox processes. Journal of the Royal Statistical Society C. Forthcoming.
MATEU, J. (2015). Discussion to the paper: Sequential Quasi-Monte-Carlo Sampling, by Gerber, M. & Chopin, N. Journal of the Royal Statistical Society B, 77 (3). Forthcoming.
FUENTES, I., GONZALEZ-MANTEIGA, W. & MATEU, J. (2015). Consistent smooth bootstrap kernel intensity estimation for inhomogeneous spatial point patterns. Scandinavian Journal of Statistics. Forthcoming.
VLAD, I.T., JUAN, P. & MATEU, J. (2015). Bayesian spatio-temporal prediction of cancer dynamics. Computers and Mathematics with Applications. Forthcoming.
VLAD, I.T., GUAL, J. & MATEU, J. (2015). Two handy geometric prediction methods of cancer growth. Current Medical Imaging Reviews. Forthcoming.
NICOLIS, O. & MATEU, J. (2015). 2D anisotropic wavelet entropy with an application to earthquakes in Chile. Entropy. Forthcoming.
MATEU, J. (2016). Discussion to the paper: Statistical modelling of citation exchange between statistics journals, by Varin, C., Cattelan, M. & Firth, D. Journal of the Royal Statistical Society A, 179 (1). Forthcoming.

2014

DIAZ-AVALOS, C., JUAN, P. & MATEU, J. (2014). Significance tests for covariate-dependent trends in inhomogeneous spatio-temporal point processes. Stochastic Environmental Research and Risk Assessment, 28 (3), 593-609.
MATEU, J. (2014). Discussion to the paper: Multiscale change point inference, by Frick, K., Munk, A. & Siedivng, H. Journal of the Royal Statistical Society B, 76(2). Forthcoming.
GREGORI, P., PORCU, E. & MATEU, J. (2014). Models of covariance functions of Gaussian random fields escaping from isotropy, stationarity and non negativity. Image Analysis and Stereology. Forthcoming.
REYES, A., GIRALDO, R. & MATEU, J. (2014). Residual kriging for functional spatial prediction of sadivnity curves. Communications in Statistics. Theory and Methods. Forthcoming.
MELO, O.O., MELO, C.E. & MATEU, J. (2014). Spatial generadivsed divnear mixed models based on distances. Statistical Methods in Medical Research. Forthcoming.
MELO, O.O., MATEU, J. & MELO, C.E. (2014). Distance-based beta regression for prediction of mutual funds.AStA Advances in Statistical Analysis. Forthcoming.
TAMAYO, I., MATEU, J. & DIGGLE, P. (2014). Modeldivng of the spatio-temporal distribution of rat sightings in an urban environment. Spatial Statistics. Forthcoming.
MATEU, J., SCHOENBERG, F.P., DIEZ, D.M., GONZALEZ, J. & LU, W. (2014). On measures of dissimilarity between point patterns: classification based on prototypes and multidimensional scadivng. Biometrical Journal. Forthcoming.
RODRIGUEZ-CORTES, F. & MATEU, J. (2014). Second-order smoothing of spatial point patterns with small sample sizes: A family of kernels. Stochastic Environmental Research and Risk Assessment. Forthcoming.
DERCOLE, R. & MATEU, J. (2014). A wavelet-based approach to quantify the anisotropy degree of spatial random point configurations. International Journal of Wavelets, Multiresolution and Information Processing. Forthcoming.

2013

URIA, J., IBANEZ, R. & MATEU, J. (2013). Importance of habitat heterogeneity and biotic processes in the spatial distribution of a riparian herb (Carex remota L.): a point process approach. Stochastic Environmental Research and Risk Assessment, 27(1), 59-76.
MATEU, J., MELO, O.O. & MELO, C.E. (2013). Discussion to the paper: Experimental designs for identifying causal mechanisms, by Imai, K., Tingley, D. & Yamamoto, T. Journal of the Royal Statistical Society, A, 176(1), 5–51.
MATEU, J., FERNANDEZ-AVILES, G. & MONTERO, J.M. (2013). On a class of non-stationary, compactly supported spatial covariance functions. Stochastic Environmental Research and Risk Assessment, 27 (2), 297-309.
SERRA, L., JUAN, P., VARGA, D., MATEU, J. & SAEZ, M. (2013). Spatial pattern modeldivng of wildfires in Catalonia, Spain 2004-2008. Environmental Modeldivng and Software, 40, 235-244.
DIAZ-AVALOS, C., JUAN, P. & MATEU, J. (2013). Similarity measures of conditional intensity functions to test separabidivty in multidimensional point processes. Stochastic Environmental Research and Risk Assessment, 27(5), 1193-1205.
DERCOLE, R. & MATEU, J. (2013). On wavelet-based energy densities for spatial point processes. Stochastic Environmental Research and Risk Assessment, 27(6), 1507-1523.
CABALLERO, W., GIRALDO, R. & MATEU, J. (2013). A universal kriging approach for spatial functional data. Stochastic Environmental Research and Risk Assessment, 27(7), 1553-1563.
MATEU, J. & RODRIGUEZ-CORTES, F. (2013). Discussion to the paper: Group sequential tests for delayed responses, by Hampson, L.V. & Jennison, C. Journal of the Royal Statistical Society, B, 75 (1), 3-54.
DIAZ-AVALOS, C. & MATEU, J. (2013). Discussion to the paper: Bayesian approach to complex cdivnical diagnoses: a case-study in child abuse, by Best, N., Ashby, D., Dunstan, F., Foreman, D. & Mcintosh, N. Journal of the Royal Statistical Society, A, 176(1), 53-96.
SAEZ, M. & MATEU, J. (2013). Discussion to the paper: Bayesian approach to complex cdivnical diagnoses: a case-study in child abuse, by Best, N., Ashby, D., Dunstan, F., Foreman, D. & Mcintosh, N. Journal of the Royal Statistical Society, A, 176(1), 53-96.
DERCOLE, R. & MATEU, J. (2013). A continuous wavelet-based approach to detect anisotropic properties in spatial point processes. International Journal of Wavelets, Multiresolution and Information Processing, 11(1), 1350017-1350046.
MATEU, J., MELO, O.O. & MELO, C.E. (2013). Discussion to the paper: How to find an appropriate clustering for mixed type variables with appdivcation to socio-economic stratification, by Christian Hennig & Tim F. divao. Appdived Statistics, 62(3), 309–369.
GUPTA, A.K., NAGAR, D.K., MATEU, J. & RODRIGUEZ-CORTES, F.J. (2013). Percentage points of a test statistic useful in manova with structured covariance matrices. Journal of Appdived Statistical Science, 20.
TAMAYO, I., MATEU, J. & MUGHINI, L. (2013). Temporal distribution and weather correlates of Norway rat (Rattus norvegicus) infestations in the city of Madrid, Spain. EcoHealth, 10(2), 137-144.
BADDELEY, A., TURNER, R., MATEU, J. & BEVAN, A. (2013). Hybrids of Gibbs point process models and their implementation. Journal of Statistical Software, 55 (11), 1-43.
MATEU, J. (2013). Discussion to the paper: Large covariance estimation by thresholding principal orthogonal, by Jianqing Fan, Yuan divao & Martina Mincheva. Journal of the Royal Statistical Society, B, 75 (4), 603-680.
SERRA, L., SAEZ, M., MATEU, J., VARGA, D., JUAN, P., DIAZ-AVALOS, C. & RUE, H. (2013). Spatio-temporal log-Gaussian Cox processes for modeldivng wildfire occurence: the case of Catalonia, 1994-2008. Environmental and Ecological Statistics. DOI: 10.1007/s10651-013-0267-y.
BOHORQUEZ, M., MATEU, J. & DIAZ, L. (2013). A note on smoothness measures for space time surfaces. Stochastic Environmental Research and Risk Assessment. DOI: 10.1007/s00477-013-0797-8.
TAMAYO, I., MATEU, J., ESCOBAR, F. & MUGHINI-GRAS, L. (2013). Risk factors and spatial distribution of urban rat infestations. Journal of Pest Science. DOI: 10.1007/s10340-013-0530-x.
IGNACCOLO, R., MATEU, J. & GIRALDO, R. (2013). Kriging with external drift for functional data for air quadivty monitoring. Stochastic Environmental Research and Risk Assessment. DOI: 10.1007/s00477-013-0806-y.
MATEU, J. & NICOdivS, O. (2013). Multiresolution analysis of divnearly-oriented spatial point patterns. Journal of Statistical Computation and Simulation. DOI: 10.1080/00949655.2013.838565.
MATEU, J. (2013). Discussion to the paper: An Overview of Object Oriented Data Analysis, by Marron, J.S. & Alonso, A.M. Biometrical Journal. DOI: 10.1002/bimj.200800143.
SERRA, L., SAEZ, M., JUAN, P., VARGA, D. & MATEU, J. (2013). A spatio-temporal Poisson Hurdle point process to model wildfires. Stochastic Environmental Research and Risk Assessment. DOI: 10.1007/s00477-013-0823-x.

2012

FUNWI-GABGA, N. & MATEU, J. (2012). Understanding the nesting spatial behaviour of gorillas in the Kagwene Sanctuary, Cameroon. Stochastic Environmental Research and Risk Assessment, 26, 793-811.
MATEU, J. (2012). Discussion to the paper: Statistical methods for healthcare regulation: rating, screening and surveillance, by Spiegelhalter, D., Sherlaw-Johnson, C., Bardsley, M., Blunt, I., Wood, C. & Grigg, O. Journal of the Royal Statistical Society, A, 175, 1-47.
BEVILACQUA, M., GAETAN, C., MATEU, J. & PORCU, E. (2012). Estimating space and space-time covariance functions for large data sets: a weighted composite likelihood approach. Journal of the American Statistical Association (JASA), 107, 268-280.
MATEU, J. (2012). Discussion to the paper: Vignettes and health systems responsiveness in cross-country comparative analysis, by Rice, N., Robone, S. & Smith, P.C. Journal of the Royal Statistical Society, A, 175, 337-369.
MATEU, J. & ARAFAT, A. (2012). Discussion to the paper: Catching up faster by switching sooner: a predictive approach to adaptive estimation with an application to the Akaike information criterion-Bayesian information criterion dilemma, by van Erven, T., Grunwald, P. & de Rooij, S. Journal of the Royal Statistical Society, B, 74, 361-417.
MATEU, J., RODRIGUEZ-CORTES, F. & GONZALEZ, J.A. (2012). Discussion to the paper: Optimum design of experiments for statistical inference, by Gilmour, S.G. & Trinca, L.A. Journal of the Royal Statistical Society, C, 61, 345-401.
MATEU, J. & ARAFAT, A. (2012). Discussion to the paper: Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation, by Fearnhead, P. & Prangle, D. Journal of the Royal Statistical Society, B, 74, 419-474.
MATEU, J. (2012). Discussion to the paper: Quantifying the weight of evidence from a forensic fingerprint comparison: a new paradigm, by Neumann, C., Evett, I.W. & and Skerrett, J. Journal of the Royal Statistical Society, A, 175, 371-415.
JUAN, P., MATEU, J. & SAEZ, M. (2012). Pinpointing spatio-temporal interactions in wildfire patterns. Stochastic Environmental Research and Risk Assessment, 26, 1131-1150.
PORCU, E., MATEU, J., GREGORI, P. & OSTOJA-STARZEWSKI, M. (2012). New classes of spectral densities for lattice processes and random fields built from simple univariate marginals. Stochastic Environmental Research and Risk Assessment, 26 (4), 479-490.
GIRALDO, R. & 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: 978-0-470-97388-2.
MATEU, J. (2012). Weibull distribution. Encyclopedia of Environmetrics, Second Edition.. El-Shaarawi, A.H. and Piegorsch, W.W. (eds.), J. Wiley & Sons, Chichester, UK. ISBN: 978-0-470-97388-2.
MADRID, A.E., ANGULO, J.M. & MATEU, J. (2012). Spatial threshold exceedance analysis through marked point processes. Environmetrics, 23(1), 108-118.
SAEZ, M.,BARCELO, M.A., TOBIAS, A., VARGA, D., OCAñA-RIOLA, R., JUAN, P. & MATEU, J. (2012). Space-time interpolation of daily air temperatures. Journal of Environmental Statistics, 3(5).
MATEU, J., MELO, O.O. & MELO, C.E. (2012). Discussion to the paper: Log-optimal economic evaluation of probability forecasts, by Johnstone, D.J. Journal of the Royal Statistical Society, A, 175(3), 661-689.
DIAZ-AVALOS, C. & MATEU, J. (2012). Discussion to the paper: Probabilistic index models, by Thas, O., De Neve, J., Clement, L. & and Ottoy, J-P. Journal of the Royal Statistical Society, B, 74(4), 623-671.
GIRALDO, R., DELICADO, P. & MATEU, J. (2012). Hierarchical clustering of spatially correlated functional data. Statistica Neerlandica, 66, 403-421.
MATEU, J. & MULLER, W. (2012). Collecting spatio-temporal data. Spatio-temporal Design. Advances in Efficient Data Acquisition. Mateu, J. & Mueller, W. (eds.), J. Wiley & Sons, Chichester, UK.
MATEU, J. (2012). Spatio-temporal evolution modeling of environmental and natural phenomena. Journal of Environmental Statistics, 3(5).
GIRALDO, R., MATEU, J. & DELICADO, P. (2012). geofd: An R package for function-valued geostatistical prediction. Revista Colombiana de Estadística, 35 (3), 383-405.
URIA, J., IBANEZ, R. & MATEU, J. (2013). Importance of habitat heterogeneity and biotic processes in the spatial distribution of a riparian herb (Carex remota L.): a point process approach. Stochastic Environmental Research and Risk Assessment, 27(1), 59-76.

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