Table 1.

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

		γ1(·)		γ2(·)
		${\sigma }_{\mathit{Y}}^2=5$	10	5	10
J=3	Likelihood	0.021	0.031	0.009	0.010
	Bayesian	0.017	0.036	0.014	0.019
J=10	Likelihood	0.009	0.013	0.006	0.007
	Bayesian	0.008	0.009	0.006	0.008