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Publications
Apanasovich, T.V., Genton, M.G. and Sun, Y. (2012), "A valid matern class of cross-covariance functions for multivariate random fields with any nuymber of components," Journal of the American Statistical Association, in press.
Bliznyuk, N., Carroll, R.J. Genton, M.G., and Wang, Y. (2012), "variogram estimation in the presence of trend," Scandinavian Journal of Statistics, in press.
Jun, M., and Genton, M.G. (2012), "A test for stationarity of spatio-tmporal random fields on planar and spherical domains," Statistica Sinica, in press.
Mahajan, S., North,G.R., Saravanan, R., and Genton, M.G. (2012), "Statistical significance of trends in monthly heavey precipitation over the US," Climate Dynamics, in press.
Sun, Y., Genton, M.G. (2012), "Adjusted functional boxplots for spatio-temporal data visualization and outlier detection," Environmentrics, 23, 54-64.
Sun, Y., Hart, J.D., and Genton, M.G. (2012), "nonparametric inference for periodic sequences," Technometris, in press.
Sun, Y., Li, B., and Genton, M.G. (2012), "Geostatistics for large datasets - in space-time processes and challenges related to environmental problems," Springer, in press.
Zhu, X., and Genton, M.G. (2012), "Short-term wind speed forcasting for power system operations," International Statistical Review, to appear, in press.
Furrer, R., and Genton, M.G. (2011), "Aggregation-cokriging for highly-multivariate spatial data," Biometrika, 98, 615-631.
Genton, M.G., Ma, Y., and Sang, H. (2011), "On the likelihood function of Gaussian max-stable processes," Biometrika, 98, 481-488.
Hering, A., and Genton, M.G. (2011), "Comparing Spatial Predictions," Technometrics, 53, 414-425.
Jun, M., Szunyogh, I., Genton, M.G., Zhang, F., and Bishop, C.H. (2011), "A statistical investigation of the sensitivity of ensemble based Kalman filters to covariance filtering," Monthly Weather Review, 139, 3036-3051.
Li, B., and Genton, M.G. (2011), "discussion of "An explicit link between Gaussian fields and Gaussian Markov random fields: The stochastic partial differential equation approach" by Finn Lindgren, Havard Rue and Johan Lindstrom," Journal of the Royal Statistial Society, Series B, 73, 480-481.
North, G.R., Wang, J., and Genton, M.G. (2011), "Correlation models for temperature fields," Journal of Climate, 24, 5850-5862.
Sun, Y., and Genton, M. G. (2011), "Functional boxplots," Journal of Computational and Graphical Statistics, 20, 316-334.
Ammann, C. M., Genton, M. G., and Li, B. (2010), "Correcting for signal attenuation from noisy proxy data in climate reconstructions," Climate of the Past, 6, 273-279.
Apanasovich, T. V., and Genton, M. G (2010), "Cross-covariance functions for multivariate random fields based on latent dimensions," Biometrika, 97, 15-30.
Arellano-Valle, R. B., and Genton, M. G. (2010), "An invariance property of quadratic forms in random vectors with a selection distribution, with application to sample variogram and covariogram estimators," Annals of the Institute of Statistical Mathematics, 62, 363-381.
Calderon, C.P., Martinez, J.G., Carroll, R.J., Sorenson, D.C. (2010), "P-splines using derivative information," Multiscale Modeling and Simulation, 8, 1562-1580.
Genton, M.G., Ruiz-Gazen, A. (2010), "Visualizing influential observations in dependent data," Journal of Computational and Graphical Statiscs, , 19, 808-825.
Hering, A. S., and Genton, M. G. (2010), "Powering up with space-time wind forecasting," Journal of the American Statistical Association, 105, 92-104.
Marchenko, Y. V., and Genton, M. G. (2010), "Multivariate log-skew-elliptical distributions with applications to precipitation data," Environmetrics, 21, 318-340.
Martinez, J.G., Liang, F., Carroll, R.J. (2010), "Functional principal component selection via Stochastic Approximation Monte Carlo," Canadian Journal of Statistics, 38, 256-270.
Mondal, A., Efendiev, Y., Mallick, B., and Datta-Gupta, A. (2010), "Bayesian uncertainty quantification for flows in heterogeneous porous media using reversible jump Markov Chain Monte Carlo methods," Advances in Water Resources, in press.
Staicu, A.M., Crainiceanu, C.M., Carroll, R.J. (2010), "Fast Methods for spatially correlated multilevel functional data," Biostatistics, 11, 177-194.
Zhou, L., Huang, J., Martinez, J.G., Maity, A., Baldandayuthapani, V., Carroll, R.J. (2010), "Reduced rank mixed effects models for spatially correlated hierarchical functional data," Journal of the American Statistical Association, 105, 390-400.
Efendiev, Y., Datta-Gupta, A. and Mallick, B. (2009), "Efficient sampling techniques for uncertainty quantification in history matching using nonlinear error models and ensemble level upscaling techniques," Water Resources Research, in press.
Efendiev, Y., Datta-Gupta, A., Hwang, K., Ma, X. and Mallick, B. (2009), "Bayesian partition models for subsurface characterization," Large-Scale Inverse Problems and Quantification of Uncertainty, Wiley, in press.
Finley, A. O., Sang, H., Banerjee, S., and Gelfand, A. E. (2009), "Improving the performance of predictive process modeling for large datasets," Computational Statistics and Data Analysis, 53, 2873-2884.
Hering, A. S., Bell, C. L., and Genton, M. G. (2009), "Modeling spatio-temporal wildfire ignition point patterns," Environmental and Ecological Statistics, Special Issue on Statistics for Wildfire Processes, 16, 225-250.
Latimer, A., Banerjee, S., Sang, H., Mosher, E., and Silander, J. (2009), "Hierarchial models for spatial analysis of large data sets: A case study on invasive plant species in the Northeastern United States," Ecology Letters, 12, 144-154.
Li, B., Murthi, A., Bowman, K., North, G., Genton, M. G., and Sherman, M. (2009), "Statistical tests of Taylor's hypothesis: an application to precipitation fields," Journal of Hydrometeorology, 10, 254-265.
Li, Y., and Genton, M. G. (2009), "Single-index additive vector autoregressive time series models," Scandinavian Journal of Statistics, 36, 369-388.
Sang, H., and Gelfand, A. E. (2009), "Hierarchical modeling for extreme values observed over space and time," Environmental and Ecological Statistics, in press.
Sang, H., and Gelfand, A. E. (2009), "Continuous spatial process models for spatial extreme values," Journal of Agricultural, Biological, and Environmental Statistics, in press.
Apanasovich, T. V., Ruppert, D., Lupton, J. R., Popovic, N., Turner, N. D., Chapkin, R. S., and Carroll, R. J. (2008), "Aberrant crypt foci and semiparametric modeling of correlated binary data," Biometrics, 64, 490-500.
Baladandayuthapani, V., Mallick, B. K., Hong, M. Y., Lupton, J. R., Turner, N. D., and Carroll, R. J. (2008), "Bayesian hierarchical spatially correlated functional data analysis with application to colon carcinogenesis," Biometrics, 64, 64-73.
Banerjee, S., Gelfand, A. E., Finley, A. O., and Sang, H. (2008), "Gaussian predictive process models for large spatial data sets," Journal of the Royal Statistical Society, Series B, 70, 825-848.
Butry, D. T., Gumpertz, M. L., and Genton, M. G. (2008), "The production of large and small wildfires," in Holmes, T. P., Prestemon, J. P., and Abt, K. L. (eds.), The Economics of Forest Disturbances: Wildfires, Storms, and Invasive Species, Springer: Dordrecht, The Netherlands, 5, 79-106.
Efendiev, Y., Datta-Gupta, A. and Mallick, B. (2008), "Modified Markov chain Monte Carlo method for dynamic data integration using streamline approach," Mathematical Geosciences, 40, 213-232.
Genton, M. G., and Koul, H. L. (2008), "Minimum distance inference in unilateral autoregressive lattice processes," Statistica Sinica, 18, 617-631.
Jun, M., and Stein, M. L. (2008), "Nonstationary covariance models for global data," Annals of Applied Statistics, 2, 1271-1289.
Jun, M., Knutti, R., and Nychka, D. W. (2008), "Local eigenvalue analysis of CMIP3 climate model errors," Tellus, 60A, 992-1000.
Jun, M., Knutti, R., and Nychka, D. W. (2008), "Spatial analysis to quantify numerical model bias and dependence: How many climate models are there?," Journal of the American Statistical Association, 103, 934-947.
Li, B., Eriksson, M., Srinivasan, R., and Sherman, M. (2008), "A geostatistical method for Texas NexRad data calibration," Environmetrics, 19, 1-19.
Li, B., Genton, M. G., and Sherman, M. (2008), "Testing the covariance structure of multivariate random fields," Biometrika, 95, 813-829.
Li, B., Genton, M. G., and Sherman, M. (2008), "On the asymptotic joint distribution of sample space-time covariance estimators," Bernoulli, 14, 228-248.
Sang, H., Gelfand, A. E. , Lennard, C., Hegerl, G., and Hewitson, B. (2008), "Interpreting self-organizing maps through space time data models," Annals of Applied Statistics, 2, 1194–1216.
Efendiev, Y., Datta-Gupta, A. and Mallick, B. (2007), "An efficient two-stage Markov Chain Monte Carlo method for dynamic data integration," Water Resources Research, 41, 1029-1035.
Genton, M. G. (2007), "Separable approximations of space-time covariance matrices," Environmetrics, 18, 681-695.
Genton, M. G., and Hering, A. S. (2007), "Blowing in the wind," Significance, 4, 11-14.
Genton, M. G., Perrin, O., and Taqqu, M. (2007), "Self-similarity and Lamperti transformation for random fields," Stochastic Models, 23, 397-411.
Gneiting, T., Genton, M. G., and Guttorp, P. (2007), "Geostatistical space-time models, stationarity, separability and full symmetry," in Finkenstaedt, B., Held, L. and Isham, V. (eds.), Statistics of Spatio-Temporal Systems, Chapman & Hall/CRC Press, Monographs in Statistics and Applied Probability, 107, 151-175.
Guan, Y., and Sherman, M. (2007), "On least squares fitting for stationary spatial point processes," Journal of the Royal Statistical Society, Series B, 69, 31-49.
Guan, Y., Sherman, M., and Calvin, J. (2007), "On asymptotic properties of the mark variogram estimator of a marked point process," Journal of Statistical Planning and Inference, 137, 148-161.
Jun, M., and Stein, M. L. (2007), "An approach to producing space-time covariance functions on spheres," Technometrics, 49, 468-479.
Li, B., Genton, M. G., and Sherman, M. (2007), "A nonparametric assessment of properties of space-time covariance functions," Journal of the American Statistical Association, 102, 736-744.
Li, Y., Wang, N., Hong, M. Y., Turner, N. D., Lupton, R. J., and Carroll, R. J. (2007), "Nonparametric estimation of correlation functions in longitudinal and spatial data, with application to colon carcinogenesis experiments," The Annals of Statistics, 35, 1608–1643.
Lim, J., Wang, X., Sherman, M. (2007), "An adjustment for edge effects using an augmented neighborhood model in the spatial auto-logistic model," Computational Statistics and Data Analysis , 51, 3679-3688.
Nordman, D., Lahiri, S. N. and Fridley, B. L. (2007), "On the optimal block size for a spatial block bootstrap method," Sankhya, 69, 468-493.
Spiegelman, C. H., and Park, E. S. (2007), "A computation saving jackknife approach to receptor model uncertainty statements for serially correlated data," Chemometrics and Intelligent Laboratory Systems, 88, 170-182.
Zhu, J. and Lahiri, S. N. (2007), "Weak convergence of the spatial empirical process and its bootstrap version," Statistical Inference from Stochastic Processes, 10, 107-145.
Furrer, R., Genton, M. G., and Nychka, D. (2006), "Covariance tapering for interpolation of large spatial datasets," Journal of Computational and Graphical Statistics, 15, 502-523.
Genton, M. G., Butry, D. T., Gumpertz, M. L., and Prestemon, J. P. (2006), "Spatio-temporal analysis of wildfire ignitions in the St Johns River Water Management District, Florida," International Journal of Wildland Fire, 15, 87-97.
Gneiting, T., Larson, K., Westrick, K., Genton, M. G., and Aldrich, E. (2006), "Calibrated probabilistic forecasting at the Stateline wind energy center: The regime-switching space-time method," Journal of the American Statistical Association, 101, 968-979.
Guan, Y., Sherman, M., and Calvin, J. (2006), "Assessing isotropy for spatial point processes," Biometrics, 62, 119-125.
Lahiri, S. N. and Zhu, J. (2006), "Resampling methods for spatial regression models under a class of stochastic designs," Annals of Statistics, 34, 1774-1813.
Mitchell, M., Genton, M. G., and Gumpertz, M. (2006), "A likelihood ratio test for separability of covariances," Journal of Multivariate Analysis, 97, 1025-1043.
Sherman, M., Apanasovich, T., and Carroll, R. J. (2006), "On estimation in binary autologistic spatial models," Journal of Statistical Computation and Simulation, 76, 167-179.
Song, J., Ghosh, M., Miaou, S. and Mallick, B. (2006), "Bayesian multivariate spatial models for roadway traffic crash mapping," Journal of Multivariate Analysis, 97, 246-273.
Zhang, F., Mallick, B. and Weng, Z. (2006), "A Bayesian method for identifying independent sources of non-random spatial pattern," Statistics and Computing, 15, 329-339.