• Adler, R. (1981) The Geometry of Random Fields. New York: Wiley.
  • Berliner, L. (1996) Hierarchical Bayesian time series models. In Maximum Entropy and Bayesian Methods, eds K.Hanson and R.Silver, Dordrecht: Kluwer Academic Publishers. pp. 1522.
  • Cressie, N. and Wikle, C. K. (2011) Statistics for Spatio-Temporal Data. Hoboken: Wiley.
  • Durbin, J. and Koopman, S. J. (2001) Time Series Analysis by State Space Methods. New York: Oxford University Press.
  • Devaney, R. L. (1989) Introduction to Chaotic Dynamical Systems, 2nd edn. Menlo Park: Benjamin-Cummings.
  • Karlin, S. and Taylor, H. M. (1981) A Second Course in Stochastic Processes. San Diego: Academic Press.
  • Kitagawa, G. (2010) Introduction to Time Series Modeling. Boca Raton: Chapman and Hall/CRC.
  • Kitagawa, G. and Gersch, W. (1996) Smoothness Priors Analysis of Time Series. New York: Springer.
  • Shumway, R. H. and Stoffer, D. S. (2006) Time Series Analysis and Its Applications, with R Examples, 2nd edn. New York: Springer.