This will include issues around both model structure and time horizon, as well as parameter values where these are common to both decision problems.
This section presents the results of applying the statistical fusion model proposed in Section 3 to the Glasgow case study outlined in Section 2. Section 4.1 presents a validation study, which compares the appropriateness of our proposed model against a number of alternative models in terms of both model structure and covariate choice.
Other features, such as the number of bone metastases, hemoglobin concentration, absolute lymphocyte count, and completed pathologic fracture, may also inform the surgeon's estimate, but they have significant prognostic value of their own, as shown in both model structures (Figs. 2 and 3).
Clearly, if M 1 and M 2 are indistinguishable and both model structures are feasible in a certain application, then there is no way to decide from input-output measurements to which one corresponds to the true model that generated the data.
In addition, newly devised modeling frameworks that address both spreads among different model structures and parameter settings have contributed to evaluate possible ranges of the uncertainty in ECS and low cloud feedback.
However, to realize it as (R^cdot Phi _cdot ) for some right-Quillen functor (Phi _cdot :C_cdot (X) rightarrow C_cdot (Y)), it suffices to equip both categories with injective model structures, and represent K by a complex of coherent sheaves flat over X.
The directions of these predictions for change in suitability were generally robust to uncertainty in both statistical model structure and future climate represented by variation among two emissions scenarios and 16 climate models (Fig. 3 and Figure S8), although variability in projected change in suitable area was greater in some regions (e.g. Eastern Asia and South America) than others.
Because a mixture of Gaussian distributions is used to approximate the conditional distribution of the target random variable (either wind speed or wind turbine power), the uncertainties arising from both the model structure and model output can be completely quantified.
