KnowraSufficient statisticLinked fromLinked fromThe 11 pages that link to Sufficient statistic, each with the reason it gives.All 11Related 9Narrower topic 2Likelihood functionRelated: The factorization theorem characterizes when the likelihood depends on data only through a statistic.Likelihood ratioRelated: For some comparisons, the likelihood ratio depends on the data only through a sufficient statistic.Naive Bayes classifierRelated: For common Naive Bayes variants, counts or means and variances summarize training evidence.Parameter (statistics)Related: Sufficiency describes when data can be compressed without losing information about parameters.Dirichlet distributionRelated: Category counts summarize the data needed to update Dirichlet parameters.Random vectorRelated: Unlike a general random vector, it is chosen to preserve parameter-relevant information.Rao–Blackwell theoremRelated: The theorem conditions on this statistic to remove variation unrelated to the parameter.Parametric statisticsRelated: Some parametric models compress data without losing information about their parameters.Family (statistics)Related: Exponential families often admit concise sufficient statistics.