| Year |
Citation |
Score |
| 2022 |
Zhang Z, Arellano-Valle RB, Genton MG, Huser R. Tractable bayes of skew-elliptical link models for correlated binary data. Biometrics. PMID 35950524 DOI: 10.1111/biom.13731 |
0.306 |
|
| 2020 |
Martínez‐Hernández I, Genton MG. Nonparametric trend estimation in functional time series with application to annual mortality rates. Biometrics. PMID 32797623 DOI: 10.1111/Biom.13353 |
0.396 |
|
| 2020 |
Litvinenko A, Kriemann R, Genton MG, Sun Y, Keyes DE. HLIBCov: Parallel hierarchical matrix approximation of large covariance matrices and likelihoods with applications in parameter identification. Methodsx. 7: 100600. PMID 32021810 DOI: 10.1016/J.Mex.2019.07.001 |
0.381 |
|
| 2020 |
Shi J, Tong T, Wang Y, Genton MG. Estimating the mean and variance from the five-number summary of a log-normal distribution Statistics and Its Interface. 13: 519-531. DOI: 10.4310/Sii.2020.V13.N4.A9 |
0.411 |
|
| 2020 |
Martínez-Hernández I, Genton MG. Recent developments in complex and spatially correlated functional data Brazilian Journal of Probability and Statistics. 34: 204-229. DOI: 10.1214/20-Bjps466 |
0.314 |
|
| 2020 |
Das S, Genton MG. On the Stationary Marginal Distributions of Subclasses of Multivariate Setar Processes of Order One Journal of Time Series Analysis. 41: 406-420. DOI: 10.1111/Jtsa.12514 |
0.36 |
|
| 2020 |
Bachoc F, Genton MG, Nordhausen K, Ruiz-Gazen A, Virta J. Spatial Blind Source Separation Biometrika. 107: 627-646. DOI: 10.1093/Biomet/Asz079 |
0.418 |
|
| 2020 |
Lenzi A, Castruccio S, Rue H, Genton MG. Improving Bayesian Local Spatial Models in Large Data Sets Journal of Computational and Graphical Statistics. 1-28. DOI: 10.1080/10618600.2020.1814789 |
0.346 |
|
| 2020 |
Vettori S, Huser R, Segers J, Genton MG. Bayesian Model Averaging Over Tree-based Dependence Structures for Multivariate Extremes Journal of Computational and Graphical Statistics. 29: 174-190. DOI: 10.1080/10618600.2019.1647847 |
0.333 |
|
| 2020 |
Salvaña MLO, Genton MG. Nonstationary cross-covariance functions for multivariate spatio-temporal random fields Spatial Statistics. 37: 100411. DOI: 10.1016/J.Spasta.2020.100411 |
0.397 |
|
| 2020 |
Tagle F, Castruccio S, Genton MG. A hierarchical bi-resolution spatial skew-t model Spatial Statistics. 35: 100398. DOI: 10.1016/J.Spasta.2019.100398 |
0.45 |
|
| 2020 |
Dai W, Mrkvicka T, Sun Y, Genton MG. Functional outlier detection and taxonomy by sequential transformations Computational Statistics & Data Analysis. 149: 106960. DOI: 10.1016/J.Csda.2020.106960 |
0.331 |
|
| 2020 |
Qu Z, Dai W, Genton MG. Robust Functional Multivariate Analysis of Variance with Environmental Applications Environmetrics. DOI: 10.1002/Env.2641 |
0.334 |
|
| 2019 |
Vettori S, Huser R, Genton MG. Bayesian modeling of air pollution extremes using nested multivariate max-stable processes. Biometrics. 75: 831-841. PMID 31009072 DOI: 10.1111/Biom.13051 |
0.355 |
|
| 2019 |
Jeong J, Yan Y, Castruccio S, Genton MG. A Stochastic Generator of Global Monthly Wind Energy with Tukey g-and-h Autoregressive Processes Statistica Sinica. DOI: 10.5705/Ss.202017.0474 |
0.382 |
|
| 2019 |
Tagle F, Castruccio S, Crippa P, Genton MG. A Non‐Gaussian Spatio‐Temporal Model for Daily Wind Speeds Based on a Multi‐Variate Skew‐t Distribution Journal of Time Series Analysis. 40: 312-326. DOI: 10.1111/Jtsa.12437 |
0.321 |
|
| 2019 |
Krupskii P, Genton MG. A Copula Model for Non-Gaussian Multivariate Spatial Data Journal of Multivariate Analysis. 169: 264-277. DOI: 10.1016/J.Jmva.2018.09.007 |
0.441 |
|
| 2019 |
Litvinenko A, Sun Y, Genton MG, Keyes DE. Likelihood approximation with hierarchical matrices for large spatial datasets Computational Statistics & Data Analysis. 137: 115-132. DOI: 10.1016/J.Csda.2019.02.002 |
0.383 |
|
| 2019 |
Martínez-Hernández I, Genton MG, González-Farías G. Robust depth-based estimation of the functional autoregressive model Computational Statistics & Data Analysis. 131: 66-79. DOI: 10.1016/J.Csda.2018.06.003 |
0.406 |
|
| 2019 |
Dai W, Genton MG. Directional outlyingness for multivariate functional data Computational Statistics & Data Analysis. 131: 50-65. DOI: 10.1016/J.Csda.2018.03.017 |
0.368 |
|
| 2019 |
Chen W, Genton MG. Parametric variogram matrices incorporating both bounded and unbounded functions Stochastic Environmental Research and Risk Assessment. 33: 1669-1679. DOI: 10.1007/S00477-019-01710-1 |
0.374 |
|
| 2018 |
Hu Z, Tong T, Genton MG. Diagonal Likelihood Ratio Test for Equality of Mean Vectors in High-Dimensional Data. Biometrics. PMID 30325005 DOI: 10.1111/Biom.12984 |
0.36 |
|
| 2018 |
Castruccio S, Ombao H, Genton MG. A scalable multi-resolution spatio-temporal model for brain activation and connectivity in fMRI data. Biometrics. PMID 29359375 DOI: 10.1111/Biom.12844 |
0.343 |
|
| 2018 |
Dai W, Genton MG. An Outlyingness Matrix for Multivariate Functional Data Classification Statistica Sinica. DOI: 10.5705/Ss.202016.0537 |
0.361 |
|
| 2018 |
Krupskii P, Genton MG. Linear factor copula models and their properties Scandinavian Journal of Statistics. 45: 861-878. DOI: 10.1111/Sjos.12325 |
0.369 |
|
| 2018 |
Abdulah S, Ltaief H, Sun Y, Genton MG, Keyes DE. ExaGeoStat: A High Performance Unified Software for Geostatistics on Manycore Systems Ieee Transactions On Parallel and Distributed Systems. 29: 2771-2784. DOI: 10.1109/Tpds.2018.2850749 |
0.398 |
|
| 2018 |
Genton MG, Keyes DE, Turkiyyah G. Hierarchical Decompositions for the Computation of High-Dimensional Multivariate Normal Probabilities Journal of Computational and Graphical Statistics. 27: 268-277. DOI: 10.1080/10618600.2017.1375936 |
0.307 |
|
| 2018 |
Krupskii P, Huser R, Genton MG. Factor Copula Models for Replicated Spatial Data Journal of the American Statistical Association. 113: 467-479. DOI: 10.1080/01621459.2016.1261712 |
0.439 |
|
| 2018 |
Chen W, Castruccio S, Genton MG, Crippa P. Current and Future Estimates of Wind Energy Potential Over Saudi Arabia Journal of Geophysical Research. 123: 6443-6459. DOI: 10.1029/2017Jd028212 |
0.322 |
|
| 2018 |
Castruccio S, Genton MG. Principles for statistical inference on big spatio-temporal data from climate models Statistics & Probability Letters. 136: 92-96. DOI: 10.1016/J.Spl.2018.02.026 |
0.396 |
|
| 2018 |
Arellano-Valle RB, Ferreira CS, Genton MG. Scale and shape mixtures of multivariate skew-normal distributions Journal of Multivariate Analysis. 166: 98-110. DOI: 10.1016/J.Jmva.2018.02.007 |
0.446 |
|
| 2018 |
Krupskii P, Joe H, Lee D, Genton MG. Extreme-value limit of the convolution of exponential and multivariate normal distributions: Link to the Hüsler–Reiß distribution Journal of Multivariate Analysis. 163: 80-95. DOI: 10.1016/J.Jmva.2017.10.006 |
0.429 |
|
| 2018 |
Cao J, Genton MG, Keyes DE, Turkiyyah GM. Hierarchical-block conditioning approximations for high-dimensional multivariate normal probabilities Statistics and Computing. 29: 585-598. DOI: 10.1007/S11222-018-9825-3 |
0.337 |
|
| 2018 |
Vettori S, Huser R, Genton MG. A comparison of dependence function estimators in multivariate extremes Statistics and Computing. 28: 525-538. DOI: 10.1007/S11222-017-9745-7 |
0.427 |
|
| 2017 |
Jeong J, Jun M, Genton MG. Spherical Process Models for Global Spatial Statistics Statistical Science. 32: 501-513. PMID 30983695 DOI: 10.1214/17-Sts620 |
0.43 |
|
| 2017 |
Ghosh S, Dutta S, Genton MG. A note on inconsistent families of discrete multivariate distributions Journal of Statistical Distributions and Applications. 4: 1-13. DOI: 10.1186/S40488-017-0061-8 |
0.344 |
|
| 2017 |
Xu G, Genton MG. Tukey g-and-h Random Fields Journal of the American Statistical Association. 112: 1236-1249. DOI: 10.1080/01621459.2016.1205501 |
0.397 |
|
| 2017 |
Krupskii P, Genton MG. Factor copula models for data with spatio-temporal dependence Spatial Statistics. 22: 180-195. DOI: 10.1016/J.Spasta.2017.10.001 |
0.426 |
|
| 2017 |
Yan Y, Genton MG. Gaussian likelihood inference on data from trans-Gaussian random fields with Matérn covariance function Environmetrics. 29: e2458. DOI: 10.1002/Env.2458 |
0.46 |
|
| 2017 |
Dutta S, Genton MG. Depth‐weighted robust multivariate regression with application to sparse data Canadian Journal of Statistics-Revue Canadienne De Statistique. 45: 164-184. DOI: 10.1002/Cjs.11315 |
0.445 |
|
| 2016 |
Cochran JE, Hardenstine RS, Braun CD, Skomal GB, Thorrold SR, Xu K, Genton MG, Berumen ML. Population structure of a whale shark Rhincodon typus aggregation in the Red Sea. Journal of Fish Biology. PMID 27401632 DOI: 10.1111/Jfb.13054 |
0.323 |
|
| 2016 |
Rubio FJ, Genton MG. Bayesian linear regression with skew-symmetric error distributions with applications to survival analysis. Statistics in Medicine. 35: 2441-54. PMID 26856806 DOI: 10.1002/sim.6897 |
0.324 |
|
| 2016 |
Prihartato PK, Irigoien X, Genton MG, Kaartvedt S. Global effects of moon phase on nocturnal acoustic scattering layers Marine Ecology Progress Series. 544: 65-75. DOI: 10.3354/Meps11612 |
0.317 |
|
| 2016 |
Genton MG, Hall P. A tilting approach to ranking influence Journal of the Royal Statistical Society Series B-Statistical Methodology. 78: 77-97. DOI: 10.1111/Rssb.12102 |
0.404 |
|
| 2016 |
Taieb SB, Huser R, Hyndman RJ, Genton MG. Forecasting Uncertainty in Electricity Smart Meter Data by Boosting Additive Quantile Regression Ieee Transactions On Smart Grid. DOI: 10.1109/Tsg.2016.2527820 |
0.378 |
|
| 2016 |
Castruccio S, Huser R, Genton MG. High-Order Composite Likelihood Inference for Max-Stable Distributions and Processes Journal of Computational and Graphical Statistics. 25: 1212-1229. DOI: 10.1080/10618600.2015.1086656 |
0.405 |
|
| 2016 |
Porcu E, Bevilacqua M, Genton MG. Spatio-Temporal Covariance and Cross-Covariance Functions of the Great Circle Distance on a Sphere Journal of the American Statistical Association. 111: 888-898. DOI: 10.1080/01621459.2015.1072541 |
0.394 |
|
| 2016 |
Castruccio S, Genton MG. Compressing an Ensemble With Statistical Models: An Algorithm for Global 3D Spatio-Temporal Temperature Technometrics. 58: 319-328. DOI: 10.1080/00401706.2015.1027068 |
0.391 |
|
| 2016 |
Azzalini A, Browne RP, Genton MG, McNicholas PD. On nomenclature for, and the relative merits of, two formulations of skew distributions Statistics and Probability Letters. 110: 201-206. DOI: 10.1016/J.Spl.2015.12.008 |
0.36 |
|
| 2016 |
Xu G, Genton MG. Tukey max-stable processes for spatial extremes Spatial Statistics. 18: 431-443. DOI: 10.1016/J.Spasta.2016.09.002 |
0.356 |
|
| 2016 |
Kim HM, Maadooliat M, Arellano-Valle RB, Genton MG. Skewed factor models using selection mechanisms Journal of Multivariate Analysis. 145: 162-177. DOI: 10.1016/J.Jmva.2015.12.007 |
0.375 |
|
| 2016 |
Dong K, Pang H, Tong T, Genton MG. Shrinkage-based diagonal Hotelling's tests for high-dimensional small sample size data Journal of Multivariate Analysis. 143: 127-142. DOI: 10.1016/J.Jmva.2015.08.022 |
0.322 |
|
| 2016 |
Huser R, Genton MG. Non-Stationary Dependence Structures for Spatial Extremes Journal of Agricultural, Biological, and Environmental Statistics. 1-22. DOI: 10.1007/S13253-016-0247-4 |
0.47 |
|
| 2016 |
Huser R, Davison AC, Genton MG. Likelihood estimators for multivariate extremes Extremes. 19: 79-103. DOI: 10.1007/S10687-015-0230-4 |
0.412 |
|
| 2016 |
Rubio FJ, Genton MG. Bayesian linear regression with skew-symmetric error distributions with applications to survival analysis Statistics in Medicine. DOI: 10.1002/Sim.6897 |
0.432 |
|
| 2016 |
Litvinenko A, Genton MG, Sun Y, Keyes DE. ℋ‐matrix techniques for approximating large covariance matrices and estimating its parameters Pamm. 16: 731-732. DOI: 10.1002/Pamm.201610354 |
0.308 |
|
| 2015 |
Ngo D, Sun Y, Genton MG, Wu J, Srinivasan R, Cramer SC, Ombao H. An exploratory data analysis of electroencephalograms using the functional boxplots approach. Frontiers in Neuroscience. 9: 282. PMID 26347598 DOI: 10.3389/Fnins.2015.00282 |
0.321 |
|
| 2015 |
Xu G, Liang F, Genton MG. A Bayesian spatio-temporal geostatistical model with an auxiliary lattice for large datasets Statistica Sinica. 25: 61-79. DOI: 10.5705/Ss.2013.085W |
0.396 |
|
| 2015 |
Roh S, Jun M, Szunyogh I, Genton MG. Multivariate localization methods for ensemble Kalman filtering Nonlinear Processes in Geophysics. 22: 723-735. DOI: 10.5194/Npg-22-723-2015 |
0.389 |
|
| 2015 |
Lee M, Jun M, Genton MG. Validation of CMIP5 multimodel ensembles through the smoothness of climate variables Tellus, Series a: Dynamic Meteorology and Oceanography. 67. DOI: 10.3402/Tellusa.V67.23880 |
0.361 |
|
| 2015 |
Genton MG, Kleiber W. Cross-covariance functions for multivariate geostatistics Statistical Science. 30: 147-163. DOI: 10.1214/14-Sts487 |
0.411 |
|
| 2015 |
Zhelonkin M, Genton MG, Ronchetti E. Robust inference in sample selection models Journal of the Royal Statistical Society. Series B: Statistical Methodology. DOI: 10.1111/Rssb.12136 |
0.455 |
|
| 2015 |
Razafindrakoto HNT, Martin Mai P, Genton MG, Zhang L, Thingbaijam KKS. Quantifying variability in earthquake rupture models using multidimensional scaling: Application to the 2011 Tohoku earthquake Geophysical Journal International. 202: 17-40. DOI: 10.1093/Gji/Ggv088 |
0.386 |
|
| 2015 |
Zhang L, Martin Mai P, Thingbaijam KKS, Razafindrakoto HNT, Genton MG. Analysing earthquake slip models with the spatial prediction comparison test Geophysical Journal International. 200: 185-198. DOI: 10.1093/Gji/Ggu383 |
0.418 |
|
| 2015 |
Genton MG, Padoan SA, Sang H. Multivariate max-stable spatial processes Biometrika. 102: 215-230. DOI: 10.1093/Biomet/Asu066 |
0.401 |
|
| 2015 |
Castrillón-Candás JE, Genton MG, Yokota R. Multi-level restricted maximum likelihood covariance estimation and kriging for large non-gridded spatial datasets Spatial Statistics. DOI: 10.1016/J.Spasta.2015.10.006 |
0.415 |
|
| 2015 |
Xu G, Genton MG. Efficient maximum approximated likelihood inference for Tukey's g-and-h distribution Computational Statistics and Data Analysis. 91: 78-91. DOI: 10.1016/J.Csda.2015.06.002 |
0.437 |
|
| 2015 |
Castruccio S, Genton MG. Comments on: Comparing and selecting spatial predictors using local criteria Test. 24: 31-34. DOI: 10.1007/S11749-014-0385-3 |
0.354 |
|
| 2015 |
Militino AF, Ugarte MD, Goicoa T, Genton M. Interpolation of daily rainfall using spatiotemporal models and clustering International Journal of Climatology. 35: 1453-1464. DOI: 10.1002/Joc.4068 |
0.382 |
|
| 2014 |
Dao NA, Genton MG. A Monte Carlo-adjusted goodness-of-fit test for parametric models describing spatial point patterns Journal of Computational and Graphical Statistics. 23: 497-517. DOI: 10.1080/10618600.2012.760459 |
0.408 |
|
| 2014 |
Dutta S, Genton MG. A non-Gaussian multivariate distribution with all lower-dimensional Gaussians and related families Journal of Multivariate Analysis. 132: 82-93. DOI: 10.1016/J.Jmva.2014.07.007 |
0.384 |
|
| 2014 |
Kim HM, Ryu D, Mallick BK, Genton MG. Mixtures of skewed Kalman filters Journal of Multivariate Analysis. 123: 228-251. DOI: 10.1016/J.Jmva.2013.09.002 |
0.385 |
|
| 2014 |
López-Pintado S, Sun Y, Lin JK, Genton MG. Simplicial band depth for multivariate functional data Advances in Data Analysis and Classification. 8: 321-338. DOI: 10.1007/S11634-014-0166-6 |
0.339 |
|
| 2014 |
Sun Y, Bowman KP, Genton MG, Tokay A. A Matérn model of the spatial covariance structure of point rain rates Stochastic Environmental Research and Risk Assessment. 29: 411-416. DOI: 10.1007/S00477-014-0923-2 |
0.377 |
|
| 2013 |
Zollanvari A, Genton MG. On Kolmogorov Asymptotics of Estimators of the Misclassification Error Rate in Linear Discriminant Analysis. Sankhya. Series a. (2008). 75. PMID 24288447 DOI: 10.1007/S13171-013-0029-9 |
0.377 |
|
| 2013 |
Potgieter CJ, Genton MG. Characteristic function-based semiparametric inference for skew-symmetric models Scandinavian Journal of Statistics. 40: 471-490. DOI: 10.1111/J.1467-9469.2012.00822.X |
0.465 |
|
| 2013 |
Ghouch AE, Genton MG, Bouezmarni T. Measuring the discrepancy of a parametric model via local polynomial smoothing Scandinavian Journal of Statistics. 40: 455-470. DOI: 10.1111/J.1467-9469.2012.00821.X |
0.458 |
|
| 2013 |
Branco MDE, Genton MG, Liseo B. Objective Bayesian Analysis of Skew-t Distributions Scandinavian Journal of Statistics. 40: 63-85. DOI: 10.1111/J.1467-9469.2011.00779.X |
0.416 |
|
| 2013 |
Arellano-Valle RB, Contreras-Reyes JE, Genton MG. Shannon Entropy and Mutual Information for Multivariate Skew-Elliptical Distributions Scandinavian Journal of Statistics. 40: 42-62. DOI: 10.1111/J.1467-9469.2011.00774.X |
0.358 |
|
| 2013 |
Kleiber W, Genton MG. Spatially varying cross-correlation coefficients in the presence of nugget effects Biometrika. 100: 213-220. DOI: 10.1093/Biomet/Ass057 |
0.357 |
|
| 2013 |
Ma Y, Kim M, Genton MG. Semiparametric efficient and robust estimation of an unknown symmetric population under arbitrary sample selection bias Journal of the American Statistical Association. 108: 1090-1104. DOI: 10.1080/01621459.2013.816184 |
0.398 |
|
| 2013 |
Li B, Genton MG. Nonparametric identification of copula structures Journal of the American Statistical Association. 108: 666-675. DOI: 10.1080/01621459.2013.787083 |
0.352 |
|
| 2013 |
Sang H, Genton MG. Tapered composite likelihood for spatial max-stable models Spatial Statistics. DOI: 10.1016/J.Spasta.2013.07.003 |
0.454 |
|
| 2013 |
Chakraborty A, De S, Bowman KP, Sang H, Genton MG, Mallick BK. An adaptive spatial model for precipitation data from multiple satellites over large regions Statistics and Computing. 1-17. DOI: 10.1007/S11222-013-9439-8 |
0.353 |
|
| 2012 |
Genton MG, Kim M, Ma Y. Semiparametric location estimation under non-random sampling. Stat. 1: 1-11. PMID 24532858 DOI: 10.1002/sta4.2 |
0.316 |
|
| 2012 |
Bliznyuk N, Carroll RJ, Genton MG, Wang Y. Variogram estimation in the presence of trend. Statistics and Its Interface. 5: 159-168. PMID 22737256 DOI: 10.4310/Sii.2012.V5.N2.A2 |
0.417 |
|
| 2012 |
Jun M, Genton MG. A test for stationarity of spatio-temporal random fields on planar and spherical domains Statistica Sinica. 22: 1737-1764. DOI: 10.5705/Ss.2010.251 |
0.397 |
|
| 2012 |
Furrer R, Genton MG, Nychka D. Erratum and Addendum to: “Covariance Tapering for Interpolation of Large Spatial Datasets” published in the Journal of Computational and Graphical Statistics, 15, 502–523 Journal of Computational and Graphical Statistics. 21: 823-824. DOI: 10.5167/Uzh-70338 |
0.316 |
|
| 2012 |
Irincheeva I, Cantoni E, Genton MG. Generalized Linear Latent Variable Models with Flexible Distribution of Latent Variables Scandinavian Journal of Statistics. 39: 663-680. DOI: 10.1111/J.1467-9469.2011.00777.X |
0.426 |
|
| 2012 |
Marchenko YV, Genton MG. A heckman selection-t model Journal of the American Statistical Association. 107: 304-317. DOI: 10.1080/01621459.2012.656011 |
0.423 |
|
| 2012 |
Apanasovich TV, Genton MG, Sun Y. A valid matérn class of cross-covariance functions for multivariate random fields with any number of components Journal of the American Statistical Association. 107: 180-193. DOI: 10.1080/01621459.2011.643197 |
0.427 |
|
| 2012 |
Sun Y, Hart JD, Genton MG. Nonparametric inference for periodic sequences Technometrics. 54: 83-96. DOI: 10.1080/00401706.2012.650499 |
0.382 |
|
| 2012 |
Zhelonkin M, Genton MG, Ronchetti E. On the robustness of two-stage estimators Statistics and Probability Letters. 82: 726-732. DOI: 10.1016/J.Spl.2011.12.014 |
0.358 |
|
| 2012 |
Irincheeva I, Cantoni E, Genton MG. A Non-Gaussian Spatial Generalized Linear Latent Variable Model Journal of Agricultural, Biological, and Environmental Statistics. 17: 332-353. DOI: 10.1007/S13253-012-0099-5 |
0.442 |
|
| 2012 |
Sun Y, Genton MG. Functional Median Polish Journal of Agricultural, Biological, and Environmental Statistics. 17: 354-376. DOI: 10.1007/S13253-012-0096-8 |
0.367 |
|
| 2012 |
Mahajan S, North GR, Saravanan R, Genton MG. Statistical significance of trends in monthly heavy precipitation over the US Climate Dynamics. 38: 1375-1387. DOI: 10.1007/S00382-011-1091-4 |
0.35 |
|
| 2012 |
Sun Y, Genton MG. Adjusted functional boxplots for spatio-temporal data visualization and outlier detection Environmetrics. 23: 54-64. DOI: 10.1002/Env.1136 |
0.384 |
|
| 2011 |
Hering AS, Genton MG. Comparing spatial predictions Technometrics. 53: 414-425. DOI: 10.1198/Tech.2011.10136 |
0.374 |
|
| 2011 |
Jun M, Szunyogh I, Genton MG, Zhang F, Bishop CH. A statistical investigation of the sensitivity of ensemble-based kalman filters to covariance filtering Monthly Weather Review. 139: 3036-3051. DOI: 10.1175/2011Mwr3577.1 |
0.333 |
|
| 2011 |
North GR, Wang J, Genton MG. Correlation models for temperature fields Journal of Climate. 24: 5850-5862. DOI: 10.1175/2011Jcli4199.1 |
0.367 |
|
| 2011 |
Furrer R, Genton MG. Aggregation-cokriging for highly multivariate spatial data Biometrika. 98: 615-631. DOI: 10.1093/Biomet/Asr029 |
0.381 |
|
| 2011 |
Genton MG, Ma Y, Sang H. On the likelihood function of Gaussian max-stable processes Biometrika. 98: 481-488. DOI: 10.1093/Biomet/Asr020 |
0.369 |
|
| 2011 |
Kim HM, Genton MG. Characteristic functions of scale mixtures of multivariate skew-normal distributions Journal of Multivariate Analysis. 102: 1105-1117. DOI: 10.1016/J.Jmva.2011.03.004 |
0.373 |
|
| 2011 |
Ma Y, Genton MG, Parzen E. Asymptotic properties of sample quantiles of discrete distributions Annals of the Institute of Statistical Mathematics. 63: 227-243. DOI: 10.1007/S10463-008-0215-Z |
0.386 |
|
| 2010 |
Ammann CM, Genton MG, Li B. Technical Note: Correcting for signal attenuation from noisy proxy data in climate reconstructions Climate of the Past. 6: 273-279. DOI: 10.5194/Cp-6-273-2010 |
0.319 |
|
| 2010 |
Lee S, Genton MG, Arellano-Valle RB. Perturbation of numerical confidential data via skew-t distributions Management Science. 56: 318-333. DOI: 10.1287/Mnsc.1090.1104 |
0.393 |
|
| 2010 |
Genton MG, Ruiz-Gazen A. Visualizing influential observations in dependent data Journal of Computational and Graphical Statistics. 19: 808-825. DOI: 10.1198/Jcgs.2010.09101 |
0.428 |
|
| 2010 |
Hering AS, Genton MG. Powering up with space-time wind forecasting Journal of the American Statistical Association. 105: 92-104. DOI: 10.1198/Jasa.2009.Ap08117 |
0.315 |
|
| 2010 |
Marchenko YV, Genton MG. A suite of commands for fitting the skew-normal and skew-t models Stata Journal. 10: 507-539. DOI: 10.1177/1536867X1101000401 |
0.41 |
|
| 2010 |
Ma Y, Genton MG. Explicit estimating equations for semiparametric generalized linear latent variable models Journal of the Royal Statistical Society. Series B: Statistical Methodology. 72: 475-495. DOI: 10.1111/J.1467-9868.2010.00741.X |
0.451 |
|
| 2010 |
Apanasovich TV, Genton MG. Cross-covariance functions for multivariate random fields based on latent dimensions Biometrika. 97: 15-30. DOI: 10.1093/Biomet/Asp078 |
0.425 |
|
| 2010 |
Arellano-Valle RB, Genton MG. 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. DOI: 10.1007/S10463-008-0175-3 |
0.443 |
|
| 2010 |
Azzalini A, Genton MG, Scarpa Di B. Invariance-based estimating equations for skew-symmetric distributions Metron. 68: 275-298. DOI: 10.1007/Bf03263540 |
0.413 |
|
| 2010 |
Arellano-Valle RB, Genton MG. Multivariate extended skew-t distributions and related families Metron. 68: 201-234. DOI: 10.1007/Bf03263536 |
0.41 |
|
| 2010 |
Marchenko YV, Genton MG. Multivariate log-skew-elliptical distributions with applications to precipitation data Environmetrics. 21: 318-340. DOI: 10.1002/Env.1004 |
0.386 |
|
| 2009 |
Park JW, Genton MG, Ghosh SK. Nonparametric autocovariance estimation from censored time series by Gaussian imputation. Journal of Nonparametric Statistics. 21: 241-259. PMID 20072705 DOI: 10.1080/10485250802570964 |
0.442 |
|
| 2009 |
Wu Y, Genton MG, Stefanski LA. A Comparison of Node-Splitting Rules in Recursive Partitioning Analysis of Multivariate Quantitative Structure Activity Data Statistics in Biopharmaceutical Research. 1: 119-130. DOI: 10.1198/Sbr.2009.0020 |
0.306 |
|
| 2009 |
Ghouch AE, Genton MG. Local polynomial quantile regression with parametric features Journal of the American Statistical Association. 104: 1416-1429. DOI: 10.1198/Jasa.2009.Tm08400 |
0.449 |
|
| 2009 |
Li B, Murthi A, Bowman KP, North GR, Genton MG, Sherman M. Statistical tests of Taylor's hypothesis: An application to precipitation fields Journal of Hydrometeorology. 10: 254-265. DOI: 10.1175/2008Jhm1009.1 |
0.371 |
|
| 2009 |
Li Y, Genton MG. Single-index additive vector autoregressive time series models Scandinavian Journal of Statistics. 36: 369-388. DOI: 10.1111/J.1467-9469.2009.00641.X |
0.406 |
|
| 2009 |
Arellano-Valle RB, Genton MG, Loschi RH. Shape mixtures of multivariate skew-normal distributions Journal of Multivariate Analysis. 100: 91-101. DOI: 10.1016/J.Jmva.2008.03.009 |
0.386 |
|
| 2009 |
Hering AS, Bell CL, Genton MG. Modeling spatio-temporal wildfire ignition point patterns Environmental and Ecological Statistics. 16: 225-250. DOI: 10.1007/S10651-007-0080-6 |
0.3 |
|
| 2009 |
Wang Q, Stefanski LA, Genton MG, Boos DD. Robust time series analysis via measurement error modeling Statistica Sinica. 19: 1263-1280. |
0.342 |
|
| 2008 |
Li B, Genton MG, Sherman M. On the asymptotic joint distribution of sample space-time covariance estimators Bernoulli. 14: 228-248. DOI: 10.3150/07-Bej6196 |
0.401 |
|
| 2008 |
Arellano-Valle RB, Castro LM, Genton MG, Gómez HW. Bayesian inference for shape mixtures of skewed distributions, with application to regression analysis Bayesian Analysis. 3: 513-540. DOI: 10.1214/08-Ba320 |
0.42 |
|
| 2008 |
Azzalini A, Genton MG. Robust likelihood methods based on the skew-t and related distributions International Statistical Review. 76: 106-129. DOI: 10.1111/J.1751-5823.2007.00016.X |
0.399 |
|
| 2008 |
Li B, Genton MG, Sherman M. Testing the covariance structure of multivariate random fields Biometrika. 95: 813-829. DOI: 10.1093/Biomet/Asn053 |
0.463 |
|
| 2008 |
Arellano-Valle RB, Genton MG. On the exact distribution of the maximum of absolutely continuous dependent random variables Statistics and Probability Letters. 78: 27-35. DOI: 10.1016/J.Spl.2007.04.021 |
0.402 |
|
| 2008 |
Arellano-Valle RB, Genton MG. Corrigendum to "On the exact distribution of linear combinations of order statistics from dependent random variables". [J. Multivariate Anal. 98 (2007) 1876-1894] (DOI:10.1016/j.jmva.2006.12.003) Journal of Multivariate Analysis. 99: 1013. DOI: 10.1016/J.Jmva.2007.12.001 |
0.366 |
|
| 2008 |
Genton MG, Koul HL. Minimum distance inference in unilateral autoregressive lattice processes Statistica Sinica. 18: 617-631. |
0.338 |
|
| 2007 |
Azzalini A, Genton MG. On Gauss's characterization of the normal distribution Bernoulli. 13: 169-174. DOI: 10.3150/07-Bej5166 |
0.386 |
|
| 2007 |
Li B, Genton MG, Sherman M. A nonparametric assessment of properties of space-time covariance functions Journal of the American Statistical Association. 102: 736-744. DOI: 10.1198/016214507000000202 |
0.4 |
|
| 2007 |
Genton MG, Hall P. Statistical inference for evolving periodic functions Journal of the Royal Statistical Society. Series B: Statistical Methodology. 69: 643-657. DOI: 10.1111/J.1467-9868.2007.00604.X |
0.331 |
|
| 2007 |
Chang SM, Genton MG. Extreme value distributions for the skew-symmetric family of distributions Communications in Statistics - Theory and Methods. 36: 1705-1717. DOI: 10.1080/03610920601126159 |
0.356 |
|
| 2007 |
Arellano-Valle RB, Genton MG. On the exact distribution of linear combinations of order statistics from dependent random variables Journal of Multivariate Analysis. 98: 1876-1894. DOI: 10.1016/J.Jmva.2006.12.003 |
0.399 |
|
| 2007 |
Genton MG. Separable approximations of space-time covariance matrices Environmetrics. 18: 681-695. DOI: 10.1002/Env.854 |
0.371 |
|
| 2007 |
Park JW, Genton MG, Ghosh SK. Censored time series analysis with autoregressive moving average models Canadian Journal of Statistics. 35: 151-168. DOI: 10.1002/Cjs.5550350113 |
0.395 |
|
| 2006 |
Wu Y, Genton MG, Stefanski LA. A multivariate two-sample mean test for small sample size and missing data. Biometrics. 62: 877-85. PMID 16984331 DOI: 10.1111/J.1541-0420.2006.00533.X |
0.368 |
|
| 2006 |
Furrer R, Genton MG, Nychka D. Covariance tapering for interpolation of large spatial datasets Journal of Computational and Graphical Statistics. 15: 502-523. DOI: 10.1198/106186006X132178 |
0.402 |
|
| 2006 |
Field C, Genton MG. The multivariate g-and-h distribution Technometrics. 48: 104-111. DOI: 10.1198/004017005000000562 |
0.375 |
|
| 2006 |
Wang J, Genton MG. The multivariate skew-slash distribution Journal of Statistical Planning and Inference. 136: 209-220. DOI: 10.1016/J.Jspi.2004.06.023 |
0.386 |
|
| 2006 |
Mitchell MW, Genton MG, Gumpertz ML. A likelihood ratio test for separability of covariances Journal of Multivariate Analysis. 97: 1025-1043. DOI: 10.1016/J.Jmva.2005.07.005 |
0.419 |
|
| 2006 |
Arellano-Valle RB, Branco MD, Genton MG. A unified view on skewed distributions arising from selections Canadian Journal of Statistics. 34: 581-601. DOI: 10.1002/Cjs.5550340403 |
0.361 |
|
| 2005 |
Davies PL, Gather U, Genton MG, Lucas A, Hampel F, Xuming HE, Oja H, Rousseeuw PJ, Tyler DE. Breakdown and groups Annals of Statistics. 33: 977-1035. DOI: 10.1214/009053604000001138 |
0.337 |
|
| 2005 |
Ma Y, Genton MG, Tsiatis AA. Locally efficient semiparametric estimators for generalized skew-elliptical distributions Journal of the American Statistical Association. 100: 980-989. DOI: 10.1198/016214505000000079 |
0.475 |
|
| 2005 |
Genton MG, Azzalini A. Discussion of "The Skew-normal" Scandinavian Journal of Statistics. 32: 189-200. DOI: 10.1111/J.1467-9469.2005.00427.X |
0.346 |
|
| 2005 |
Arellano-Valle RB, Genton MG. On fundamental skew distributions Journal of Multivariate Analysis. 96: 93-116. DOI: 10.1016/J.Jmva.2004.10.002 |
0.367 |
|
| 2005 |
Naveau P, Genton MG, Shen X. A skewed Kalman filter Journal of Multivariate Analysis. 94: 382-400. DOI: 10.1016/J.Jmva.2004.06.002 |
0.31 |
|
| 2005 |
Genton MG, Loperfido NMR. Generalized skew-elliptical distributions and their quadratic forms Annals of the Institute of Statistical Mathematics. 57: 389-401. DOI: 10.1007/Bf02507031 |
0.408 |
|
| 2005 |
Mitchell MW, Genton MG, Gumpertz ML. Testing for separability of space-time covariances Environmetrics. 16: 819-831. DOI: 10.1002/Env.737 |
0.348 |
|
| 2004 |
Genton MG, Perrin O. On a time deformation reducing nonstationary stochastic processes to local stationarity Journal of Applied Probability. 41: 236-249. DOI: 10.1239/Jap/1077134681 |
0.329 |
|
| 2004 |
Ma Y, Genton MG. Flexible class of skew-symmetric distributions Scandinavian Journal of Statistics. 31: 459-468. DOI: 10.1111/J.1467-9469.2004.03_007.X |
0.401 |
|
| 2004 |
Gorsich DJ, Genton MG. On the discretization of nonparametric isotropic covariogram estimators Statistics and Computing. 14: 99-108. DOI: 10.1023/B:Stco.0000021408.63640.D8 |
0.402 |
|
| 2004 |
Wang J, Boyer J, Genton MG. A note on an equivalence between chi-square and generalized skew-normal distributions Journal of Monetary Economics. 51: 395-398. DOI: 10.1016/J.Spl.2003.11.006 |
0.381 |
|
| 2003 |
Ehm W, Genton MG, Gneiting T. Stationary covariances associated with exponentially convex functions Bernoulli. 9: 607-615. DOI: 10.3150/Bj/1066223271 |
0.374 |
|
| 2003 |
Genton MG, Ronchetti E. Robust indirect inference Journal of the American Statistical Association. 98: 67-76. DOI: 10.1198/016214503388619102 |
0.462 |
|
| 2003 |
Genton MG, Lucas A. Comprehensive definitions of breakdown points for independent and dependent observations Journal of the Royal Statistical Society. Series B: Statistical Methodology. 65: 81-94. DOI: 10.1111/1467-9868.00373 |
0.36 |
|
| 2002 |
De Luna X, Genton MG. Simulation-based inference for simultaneous processes on regular lattices Statistics and Computing. 12: 125-134. DOI: 10.1023/A:1014830401806 |
0.419 |
|
| 2002 |
Genton MG, Gorsich DJ. Nonparametric variogram and covariogram estimation with Fourier-Bessel matrices Computational Statistics and Data Analysis. 41: 47-57. DOI: 10.1016/S0167-9473(02)00062-2 |
0.417 |
|
| 2002 |
Gorsich DJ, Genton MG, Strang G. Eigenstructures of spatial design matrices Journal of Multivariate Analysis. 80: 138-165. DOI: 10.1006/Jmva.2000.1976 |
0.343 |
|
| 2001 |
De Luna X, Genton MG. Robust simulation-based estimation of ARMA models Journal of Computational and Graphical Statistics. 10: 370-387. DOI: 10.1198/10618600152628347 |
0.442 |
|
| 2001 |
Genton MG. The change-of-variance function: A tool to explore the effects of dependencies in spatial statistics Journal of Statistical Planning and Inference. 98: 191-209. DOI: 10.1016/S0378-3758(00)00298-6 |
0.461 |
|
| 2001 |
Genton MG, He L, Liu X. Moments of skew-normal random vectors and their quadratic forms Statistics and Probability Letters. 51: 319-325. DOI: 10.1016/S0167-7152(00)00164-4 |
0.418 |
|
| 2001 |
Ma Y, Genton MG. Highly robust estimation of dispersion matrices Journal of Multivariate Analysis. 78: 11-36. DOI: 10.1006/Jmva.2000.1942 |
0.415 |
|
| 2000 |
Ma Y, Genton MG. Highly robust estimation of the autocovariance function Journal of Time Series Analysis. 21: 663-684. DOI: 10.1111/1467-9892.00203 |
0.416 |
|
| 2000 |
Gorsich DJ, Genton MG. Variogram model selection via nonparametric derivative estimation Mathematical Geology. 32: 249-270. DOI: 10.1023/A:1007563809463 |
0.439 |
|
| 2000 |
Genton MG. The correlation structure of Matheron's classical variogram estimator under elliptically contoured distributions Mathematical Geology. 32: 127-137. DOI: 10.1023/A:1007511019496 |
0.464 |
|
| 2000 |
Genton MG, De Luna X. Robust simulation-based estimation Statistics and Probability Letters. 48: 253-259. DOI: 10.1016/S0167-7152(00)00004-3 |
0.423 |
|
| 1999 |
Eyer L, Genton MG. Characterization of variable stars by robust wave variograms: An application to Hipparcos mission Astronomy and Astrophysics Supplement Series. 136: 421-428. DOI: 10.1051/Aas:1999224 |
0.33 |
|
| 1999 |
Genton MG, Yanyuan M. Robustness properties of dispersion estimators Statistics and Probability Letters. 44: 343-350. DOI: 10.1016/S0167-7152(99)00025-5 |
0.404 |
|
| 1999 |
Genton MG. The correlation structure of the sample autocovariance function for a particular class of time series with elliptically contoured distribution Statistics & Probability Letters. 41: 131-137. DOI: 10.1016/S0167-7152(98)00129-1 |
0.4 |
|
| 1998 |
Genton MG. Spatial breakdown point of variogram estimators Mathematical Geology. 30: 853-871. DOI: 10.1023/A:1021778626251 |
0.419 |
|
| 1998 |
Genton MG. Variogram fitting by generalized least squares using an explicit formula for the covariance structure Mathematical Geology. 30: 323-345. DOI: 10.1023/A:1021733006262 |
0.453 |
|
| 1998 |
Genton MG. Highly Robust Variogram Estimation Mathematical Geology. 30: 213-221. DOI: 10.1023/A:1021728614555 |
0.387 |
|
| 1998 |
Genton MG. Asymptotic variance of M-estimators for dependent Gaussian random variables Statistics and Probability Letters. 38: 255-261. DOI: 10.1016/S0167-7152(98)00026-1 |
0.411 |
|
| 1995 |
Genton MG, Rousseeuw PJ. The change-of-variance function of M-estimators of scale under general contamination Journal of Computational and Applied Mathematics. 64: 69-80. DOI: 10.1016/0377-0427(95)00007-0 |
0.348 |
|
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