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Bayesian descriptive statistics

Bayesian descriptive statistics summarizes data by combining observed information with prior knowledge through Bayes' theorem, yielding posterior distributions over parameters such as the mean and variance. Instead of point estimates and p-values, results are expressed as posterior means, medians, and credible intervals that carry a direct probability interpretation.

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Bayesian Descriptive Statistics

Taxonomický záznam metódy · hypothesis-test / statistics

Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013). Bayesian Data Analysis (3rd ed.). CRC Press. · ISBN 978-1439840955
Kruschke, J. K. (2014). Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan (2nd ed.). Academic Press. · ISBN 978-0124058880

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Taxonomic bucketBayesian chi-square testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian Independent Samples t-testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketEffect size analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPower analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust Descriptive Statisticsmachine-suggested · Relational suggestion, not evidence.