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Further, our Bayesian approach allowed us to obtain not only point estimates of the modes' locations, but the whole posterior distribution that informed us also on the uncertainty on the estimated modes' locations (for full details on model, estimation and results we refer to LFH, NB, and HKvD, manuscript in preparation).
Thus, the estimated modes cannot be decided to which modes of interest they correspond respectively.
In Figure 5, we compare the estimated modes obtained by the 2-D ESPRIT [5] and our proposed technique.
From Table 8, one can find that the estimated modes 1, 2, and 3 are the estimated IM 6, IM 7, and IM 8, respectively.
In general, the distance between the estimated modes was also associated with the BC (rho = .44, N = 178, p < .001).001
We made two observations: first, the HMM analyses detected bimodality, even if the distances between the estimated modes were rather small.
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The estimated mode choice model, which explicitly considers taste heterogeneity and panel effects, was tested with data collected in different types of cities (urban, rural and insular) of two different countries Greece and Cyprus, enabling comparisons in adolescents' travel behaviour across different geographical areas.
Figure 8 illustrates the mode shapes of the five estimated modes as well as three reference ones.
Estimated modes are presented by red circles.
(b) Estimated mode 2. (c) Estimated mode 3. (d) Estimated mode 4. (e) Estimated mode 5. (f) Inter-area mode.
Note the pronounced band along the diagonal of the in Fig. 3D, which indicates high similarity (cross-correlation) between the predicted and the estimated dominant modes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com