Predictive updating methods with application to bayesian classification lesbian dating blog
It examines the use of computers in statistical data analysis.
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The discussions are largely independent of one another, and so you may jump ahead if you wish.To reduce variability, multiple rounds of cross-validation are performed using different partitions, and the validation results are combined (e.g.averaged) over the rounds to estimate a final predictive model.In these cases, a fair way to properly estimate model prediction performance is to use cross-validation as a powerful general technique.Suppose we have a model with one or more unknown parameters, and a data set to which the model can be fit (the training data set).
This usually involves using database techniques such as spatial indices.