This paper presents two Bayesian alternatives to the chi-squared test for determining whether a pair of categorical data sets were generated from the same underlying distribution. It then discusses such alternatives for the Kolmogorov-Smirnov test, which is often used when the data sets consist of real numbers.
CITATION STYLE
Wolpert, D. H. (1996). Determining Whether Two Data Sets are from the Same Distribution. In Maximum Entropy and Bayesian Methods (pp. 271–276). Springer Netherlands. https://doi.org/10.1007/978-94-011-5430-7_32
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