Marc G. Genton

Chang, S.-M., & Genton, M. G. (2007). Extreme value distributions for the skew-symmetric family of distributions. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, Vol. 36, pp. 1705–1717. https://doi.org/10.1080/03610920601126159

Wu, Y., Genton, M. G., & Stefanski, L. A. (2006). A Multivariate two-sample mean test for small sample size and missing data. BIOMETRICS, 62(3), 877–885. https://doi.org/10.1111/j.1541-0420.2006.00533.x

Wang, J., & Genton, M. G. (2006). The multivariate skew-slash distribution. JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 136(1), 209–220. https://doi.org/10.1016/j.jspi.2004.06.023

Naveau, P., Genton, M. G., & Shen, X. L. (2005). A skewed Kalman filter. JOURNAL OF MULTIVARIATE ANALYSIS, 94(2), 382–400. https://doi.org/10.1016/j.jmva.2004.06.002

Mitchell, M. W., Genton, M. G., & Gumpertz, M. L. (2005). Testing for separability of space-time covariances. ENVIRONMETRICS, 16(8), 819–831. https://doi.org/10.1002/env.737

Wang, J. Z., Boyer, J., & Genton, M. G. (2004). A note on an equivalence between chi-square and generalized skew-normal distributions. STATISTICS & PROBABILITY LETTERS, 66(4), 395–398. https://doi.org/10.1016/j.spl.2003.11.006

Wang, J. Z., Boyer, J., & Genton, M. G. (2004). A skew-symmetric representation of multivariate distributions. Statistica Sinica, 14(4), 1259–1270.

Eyer, L., & Genton, M. G. (2004). An astronomical distance determination method using regression with skew-normal errors. In Skew-elliptical distibutions and their applications: A journey beyond normality. Boca Raton, FL: Chapman & Hall/CRC.

Ma, Y. Y., & Genton, M. G. (2004). Flexible class of skew-symmetric distributions. Scandinavian Journal of Statistics: Theory and Applications, 31(3), 459–468.

Ma, Y. Y., Genton, M. G., & Davidian, M. (2004). Linear mixed effects models with flexible generalized skew-elliptical random effects. In Skew-elliptical distibutions and their applications: A journey beyond normality. Boca Raton, FL: Chapman & Hall/CRC.

Genton, M. G., & Perrin, O. (2004). On a time deformation reducing nonstationary stochastic processes to local stationarity. JOURNAL OF APPLIED PROBABILITY, 41(1), 236–249. https://doi.org/10.1239/jap/1077134681

Gorsich, D. J., & Genton, M. G. (2004). On the discretization of nonparametric isotropic covariogram estimators. STATISTICS AND COMPUTING, 14(2), 99–108. https://doi.org/10.1023/B:STCO.0000021408.63640.d8

Baloch, S. H., Krim, H., & Genton, M. G. (2004). Shape representation with flexible skew-symmetric distributions. In Skew-elliptical distibutions and their applications: A journey beyond normality. https://doi.org/10.1201/9780203492000.ch17

Genton, M. G. (2004). Skew-elliptical distibutions and their applications: A journey beyond normality. Boca Raton: Chapman & Hall/CRC.

Genton, M. G. (2004). Skew-symmetric and generalized skew-elliptical distributions. In Skew-elliptical distibutions and their applications: A journey beyond normality. Boca Raton, FL: Chapman & Hall/CRC.

Luna, X., & Genton, M. G. (2004). Spatio-temporal autoregressive models for US unemployment rate. SPATIAL AND SPATIOTEMPORAL ECONOMETRICS, Vol. 18, pp. 279–294. https://doi.org/10.1016/S0731-9053(04)18009-2

Naveau, P., Genton, M. G., & Ammann, C. (2004). Time series analysis with a skewed Kalman filter. In Skew-elliptical distibutions and their applications: A journey beyond normality. Boca Raton, FL: Chapman & Hall/CRC.

Genton, M. G., & Lucas, A. (2003). Comprehensive definitions of breakdown points for independent and dependent observations. Journal of the Royal Statistical Society. Series B, Methodological, 65(2003), 81–94.

Genton, M. G., & Ronchetti, E. (2003). Robust indirect inference. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 98(461), 67–76. https://doi.org/10.1198/016214503388619102

Ehm, W., Genton, M. G., & Gneiting, T. (2003). Stationary covariances associated with exponentially convex functions. BERNOULLI, 9(4), 607–615. https://doi.org/10.3150/bj/1066223271

Genton, M. G. (2002). Classes of kernels for machine learning: A statistics perspective. JOURNAL OF MACHINE LEARNING RESEARCH, Vol. 2, pp. 299–312. https://doi.org/10.1162/15324430260185646

Genton, M. G., & Gorsich, D. J. (2002). Nonparametric variogram and covariogram estimation with Fourier-Bessel matrices. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 41(1), 47–57. https://doi.org/10.1016/S0167-9473(02)00062-2

De Luna, X., & Genton, M. G. (2002). Simulation-based inference for simultaneous processes on regular lattices. Statistics and Computing, 12(2), 125–134.

De Luna, X., & Genton, M. G. (2001). Robust simulation-based estimation of ARMA models. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 10(2), 370–387. https://doi.org/10.1198/10618600152628347