We provide a comprehensive view of the modeling process, including selection of model structure, measurement, estimation, and rendering at interactive rates.
See the Supplementary Methods for a more detailed description of the mathematical modeling process, including splines, linear mixed-effects models and the LASSO multivariate regression.
Key factors influencing the modeling process included: (1) challenging assumptions, (2) bounding scenarios, (3) validating science and scenarios, and (4) negotiating the degree of science certainty about climate change necessary for adaptive natural resource management.
The modeling process included an estimate of uncertainty on each 30 m grid cell for the entire State of Hawaii.
In sect. 4 where recognition results are given, the details of modeling process, including number of states and Gaussian mixtures, are presented.
Given these two realities, greater openness and transparency is needed in all aspects of the modeling process, including timely access to all publically available data sources.
Last, to evaluate whether any association between daily right heart pressure and same-day PM2.5 concentration was independent of previous days' mean PM2.5 concentrations, we repeated this two-stage modeling process including the mean PM2.5 concentrations from lag days 0 6, rather than just lag 0, in the same model.
They reported similar gains in modeling process skills, including applying the model-building steps (mean = 4.25/5) and their abilities to approach vague problems (mean = 4.12/5).
Bayesian CAR methods can incorporate spatial correlation and uncertainty into the modeling process by including unknown parameters as random variables (Zacarias and Andersson 2010).
In comparison, the latter approach has a more complex process, including modeling and curve fitting, but the derived model parameters directly related to inherent physiology.
