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Optimal designs for correlated observations

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Design and Analysis of Experiments

In this talk we will relate optimal design problems for regression models with correlated observations to estimation problems in stochastic differential equations. By using “classical” theory of mathematical statistics for stochastic processes we provide a complete solution of the optimal design problem for a broad class of correlation structures.

This talk is part of the Isaac Newton Institute Seminar Series series.

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