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Models averaging the predictions from two (or eventually more) composite models will be referred to as "consensus models".
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As one example, the ensemble learner can be estimated simply by model averaging the base learners, { f s (x ) } 1 S.
The historic model averaged the number of subsidy eligible animals and hectares for each farm in the years 2000, 2001 and 2002.
Concentrations of fine particulate matter (PM2.5) from smoke forecasting models averaged to the county are taken as the exposure matrix.
For the Bayesian model averaging methods, the chain length was 160,000 iterations, with the first 50,000 excluded as the burn-in period.
The analyses were performed in R [ 11] using the lm and step functions and, for Bayesian model averaging, the bic.glm function in the BMA package [ 13, 14].
With Bayesian model averaging, the posterior distributions of population history parameters are integrated across a set of microsatellite models and thus account for model uncertainty.
We obtained blood pressure values to use in the regression model by averaging the two measurements.
In model averaging all the models are updated independently based on the short-time measurements.
We also propose to use a simple method which we call the model averaging to improve the quality of the sketched solution, both theoretically and empirically.
To address this problem of selecting "the" model, Bayesian model averaging (BMA) averages the effect estimates across all possible models weighted by the model posterior probabilities [ 45, 46].
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