This function computes covariance of the stationary distribution of the state when kernel is the Matern covariance with roughness parameter 2.5.
Construct_W0_matern_5_2(sigma2,lambda)
the variance parameter.
the transformed range parameter.
W0 matrix.
Hartikainen, J. and Sarkka, S. (2010). Kalman filtering and smoothing solutions to temporal gaussian process regression models. Machine Learning for Signal Processing (MLSP), 2010 IEEE International Workshop, 379-384.
M. Gu, Y. Xu (2019), fast nonseparable Gaussian stochastic process with application to methylation level interpolation. Journal of Computational and Graphical Statistics, In Press, arXiv:1711.11501.
Campagnoli P, Petris G, Petrone S. (2009), Dynamic linear model with R. Springer-Verlag New York.