Table 2.

Average MSE for the likelihood-based and Bayesian implementations with multiple functional predictors over 100 repetitions for ${\sigma }_{{\mathit{W}}_k}^2=0.5,{\sigma }_{\mathit{b}}^2=50$, and all other possible parameter combinations and true coefficient functions. Results are similar for other levels of ${\sigma }_{{\mathit{W}}_k}^2,{\sigma }_{\mathit{b}}^2$.

		γ1(·)		γ2(·)
		${\sigma }_{\mathit{Y}}^2=5$	=10	=5	=10
J=3	Likelihood	0.019	0.028	0.008	0.011
	Bayesian	0.015	0.029	0.010	0.016
J=10	Likelihood	0.009	0.013	0.004	0.006
	Bayesian	0.008	0.009	0.004	0.006