Abstract
When responses are correlated in regression settings, (3.1) and (5.1) need to be modified to incorporate correlation. For the model components to be identifiable from each other, the correlation can not be arbitrary but structured around a limited number of parameters, say γ, and the correlation structure should not be dependent on the covariate x. Of primary interest is the selection of tuning parameters, which now consist of the smoothing parameters in λJ(η) and the correlation parameters γ.
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Gu, C. (2013). Regression with Correlated Responses. In: Smoothing Spline ANOVA Models. Springer Series in Statistics, vol 297. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-5369-7_6
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