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42:55
YouTube
Dr. Dylan Spicker
007. Linear Marginal Models: Likelihood, Inference, and Asymptotics (Theory)
In this video we complete walk through of the likelihood derivation for linear marginal models, discussing the parameter estimation procedure, as well as the asymptotic distribution of the ML estimates. We discuss the bias in finite samples and introduce the expression for the REML (but not the complete derivation). We also discuss, briefly ...
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