The Bayesian KMO index is a novel re-conceptualization of the Kaiser-Meyer-Olkin (KMO) index that enables researchers to incorporate prior information and make coherent probabilistic statements about the sampling adequacy of a data matrix.
bayesian-inference msa kmo frequentist-inference kaiser-meyer-olkin-index bayesian-kaiser-meyer-olkin-index bkmo measure-of-sampling-adequacy bayesian-measure-of-sampling-adequacy bmsa robust-kmo-index bootstrap-kmo-index likelihood-based-inference robust-bkmo-index
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Updated
Sep 22, 2025 - HTML