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Given this procedure, the PRESS statistic can be calculated for a number of candidate model structures for the same dataset, with the lowest values of PRESS indicating the best structures. Models that are over-parameterised ( over-fitted ) would tend to give small residuals for observations included in the model-fitting but large residuals for ...
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Learn Bayes: Learn Bayesian statistics with simple examples and supporting text. Learn Stats: Learn classical statistics with simple examples and supporting text. Machine Learning: Explore the relation between variables using data-driven methods for supervised learning and unsupervised learning.
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Many examples and problems come from business and economics. Importance: Greatly extended the scope of applied Bayesian statistics by using conjugate priors for exponential families. Extensive treatment of sequential decision making, for example mining decisions. For many years, it was required for all doctoral students at Harvard Business School.
Sufficiency (statistics) – see Sufficient statistic; Sufficient dimension reduction; Sufficient statistic; Sum of normally distributed random variables; Sum of squares (disambiguation) – general disambiguation; Sum of squares (statistics) – see Partition of sums of squares; Summary statistic; Support curve; Support vector machine ...