This leads to a weighted spatial average model that applies a different weight on the log modulus of each finite element over the domain being averaged.
Briefly, a bone atlas is an average model that captures the primary shape variation of a bone and allows for the comparison of global shape differences between groups or populations, guaranteeing standardization, normalization, and landmark correspondence across a population.
For our CC data, the best-fitting ARIMA-type model applied to the residuals after fitting the trend, seasonality, and day-of-week effect was the EWMA (equivalent to a moving average fit to the first differences, also denoted ARIMA 0,1,1) for the particular autoregressive integrated moving average model that it corresponds to).
It is found that the conventional spatial averaging model that treats all soil regions equally important cannot satisfactorily represent Eeff.
This simple model was also compared to two models with additional free parameters: (a) a leaky averaging model that implemented an exponantial moving average when calculating the absolute integrated value of each bandit, (b) a leaky averaging model, in which the initial value of the reference (v prior ) was a free parameter.
The Bi Bi displacement correlation function along the same direction shows similar peaks in both RMC and average incommensurate models that are consistent with the antiferroelectric behavior of PbZrO3; this feature is preserved in the local structure of the HT phase.
The procedure allows to remove on average 40 predictive models that have a nearly identical model in each set.
Figure 15 shows the mean harvested reward averaged over all models that have a particular value of ML and TR.
In the case of power modeling, usage diversity means average-case power models that may be insufficient to accurately predict power consumption for different users, and hence, a usage activity-based power model is essential to accurately predict power consumption.
In order to reduce computational complexity, food features at the fine scale are usually not modeled explicitly but incorporated through averaging procedures into models that operate at the coarse scale.
