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Partition-based uniform error bounds
1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227), 2002Develops probabilistic bounds on out-of-sample error rates for several classifiers using a single set of in-sample data. The bounds are based on probabilities over partitions of the union of in-sample and out-of-sample data into in-sample and out-of-sample data sets.
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Voigt-Reuss and Hashin-Shtrikman bounds revisited
International Journal of Engineering Science, 2023Damian Stefaniuk
exaly
An augmented autoregressive distributed lag bounds test for cointegration
Economic Modelling, 2019Soo Khoon Goh
exaly
Validity, tightness, and forecasting power of risk premium bounds
Journal of Financial Economics, 2022exaly