Bayesian model selection provides a coherent framework for comparing competing statistical models by balancing goodness of fit against model complexity through the use of prior distributions and ...
Predictive analytics relies on constructing models that generalise well from historical data to unseen instances. Central to this endeavour are model selection techniques, which aim to identify the ...
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