F. Bachoc, Asymptotic analysis of the role of spatial sampling for covariance parameter estimation of Gaussian processes, Journal of Multivariate Analysis, vol.125, issue.1, pp.1-35, 2004.
DOI : 10.1016/j.jmva.2013.11.015

URL : https://hal.archives-ouvertes.fr/hal-00906934

. Bfg-+-15-]-m, A. Bevilacqua, C. Fassò, E. Gaetan, D. Porcu et al., Covariance tapering for multivariate Gaussian random fields estimation, Statistical Methods & Applications, issue.2 6, pp.1-17, 2015.

R. Furrer, F. Bachoc, and J. Du, Asymptotic properties of multivariate tapering for estimation and prediction, Journal of Multivariate Analysis, vol.149, issue.2 6
DOI : 10.1016/j.jmva.2016.04.006

URL : https://hal.archives-ouvertes.fr/hal-01203600

R. Horn and C. Johnson, Topics in matrix analysis, 1991.
DOI : 10.1017/CBO9780511840371

K. V. Mardia and R. J. Marshall, Maximum likelihood estimation of models for residual covariance in spatial regression, Biometrika, vol.71, issue.1, pp.135-146, 1984.
DOI : 10.1093/biomet/71.1.135

S. Noschese, L. Pasquini, and L. , Tridiagonal Toeplitz matrices: properties and novel applications. Numerical Linear Algebra with Applications, pp.302-326, 2013.
DOI : 10.1002/nla.1811

B. A. Shaby and D. Ruppert, Tapered Covariance: Bayesian Estimation and Asymptotics, Journal of Computational and Graphical Statistics, vol.50, issue.2, pp.433-452, 2012.
DOI : 10.1080/00949658908811149

M. L. Stein, Interpolation of Spatial Data: Some Theory for Kriging, 1999.
DOI : 10.1007/978-1-4612-1494-6