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Rianne de Heide | Sequential nonparametric testing with the law of the iterated logarithm - Balsubramani, Ramdas
NB Rescheduled because of the annual meeting of the VVS-OR on March 23rd. In nonparametric testing we would like to make a decision between a null hypothesis (H_0) and an alternative hypothesis (H_1) without making assumptions about underlying distribution(s) of the data being analyzed. The test should maximize the power (minimize false negatives) while maintaining the level of type I errors (false positives), and in addition we focus on a sequential testing framework that accomodates data sets that are extremely large or high-dimensional, or data that arrive sequentially.
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