Experimental Design for Time-Dependent Models with Correlated Observations

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A comparison of spatial design methods for correlated observations (2005, methodology): “…convergence of this heuristic algorithm (as in the uncorrelated case) and, although refinements of the procedure have been suggested (see, for example, Section 6.6 of Näther, 1985, and for a recent implementation Ucinski and Atkinson, 2004), none of them apparently guarantees perfect performance.”
A New Approach to Optimal Design for Linear Models With Correlated Observations (2010, methodology): “On the other hand it is motivated by the fact that for “small” values of the parameter λ, it provides a good approximation of the exponential correlation kernel ρλ(x) = exp(−λ|x|), which is widely used for modeling correlations in regression models; see Ucinski and Atkinson (2004) or Dette, Pepelysh”