query: What do we mean when we say that an approach is "Bayesian"?
positive_passages.docid: 18798
positive_passages.text: Study path to Bayesian thinking?
negative_passages.docid: 106766
negative_passages.text: Bayesian linear regression question
negative_passages.docid: 73280
negative_passages.text: Are all simulation methods some form of Monte Carlo?
negative_passages.docid: 64491
negative_passages.text: What is an "uninformative prior"? Can we ever have one with truly no information?
negative_passages.docid: 24674
negative_passages.text: On posterior in the Bayesian bootstrap
negative_passages.docid: 25043
negative_passages.text: Bayes' Theorem or Bayes's Theorem? (Similarly, Charles' Law or Charles's Law?)
negative_passages.docid: 36187
negative_passages.text: Introduction to frequentist statistics for Bayesians
negative_passages.docid: 138093
negative_passages.text: A question about notation of Bayes' Theorem
negative_passages.docid: 64290
negative_passages.text: How can one express frequentist p-value in terms of Bayesian concepts?
negative_passages.docid: 120834
negative_passages.text: Is the mean (Bayesian) posterior estimate of $\theta$ a (Frequentist) unbiased estimator of $\theta$?
negative_passages.docid: 108952
negative_passages.text: What is the difference in Bayesian estimate and maximum likelihood estimate?
negative_passages.docid: 23346
negative_passages.text: How would you explain Markov Chain Monte Carlo (MCMC) to a layperson?
negative_passages.docid: 102951
negative_passages.text: Likelihood vs conditional distribution for Bayesian analysis
negative_passages.docid: 47965
negative_passages.text: What is the difference between "likelihood" and "probability"?
negative_passages.docid: 47608
negative_passages.text: Posterior mean if signal is an interval rather than a realization
negative_passages.docid: 36118
negative_passages.text: Do conjugate priors just lead to a posterior that is a modification of the parameters of the prior?
negative_passages.docid: 36428
negative_passages.text: Formulas for probabilities in Bayes theorem