💡 Words with a Similar Meaning to "Posterior predictive distribution"
Found via reverse dictionary — words that share a conceptual meaning.
| Word | Definition |
|---|---|
| posterior probabilitynoun | (statistics) The probability of an event given the knowledge of occurrence of other events that bear on it: P( A | B ) as contrasted to P( A ), where A is the sought event and B is the sign or symptom event. |
| maximum a posteriori estimation | An estimation procedure that is often claimed to be part of Bayesian statistics is the maximum a posteriori estimate of an unknown quantity, that equals the mode of the posterior density with respect to some reference measure, typically the Lebesgue measure. |
| conditional variance | In probability theory and statistics, a conditional variance is the variance of a random variable given the value(s) of one or more other variables. |
| approximate bayesian computation | Approximate Bayesian computation constitutes a class of computational methods rooted in Bayesian statistics that can be used to estimate the posterior distributions of model parameters. |
| empirical bayes method | Empirical Bayes methods are procedures for statistical inference in which the prior probability distribution is estimated from the data. |
| conditional probabilitynoun | The probability that an event will take place given the restrictive assumption that another event has taken place, or that a combination of other events has taken place. (Mathematically, the definition would be that the conditional probability of B given A is equal to the joint probability of A and B divided by the probability of A.) |
| probability distributionnoun | (statistics) A distribution of all possible values of a random variable together with an indication of their probabilities. |
| prior probabilitynoun | (statistics) The probability of an event obtained without the knowledge of occurrence of other events that bear on it. |
| bayesian hierarchical modeling | Bayesian hierarchical modelling is a statistical model written in multiple levels (hierarchical form) that estimates the parameters of the posterior distribution using the Bayesian method. |
| bayesian statistics | (or ) a theory in the field of statistics based on the Bayesian interpretation of probability, where probability expresses a degree of belief in an event. |
| credible interval | In Bayesian statistics, a credible interval is an interval used to characterize a probability distribution. |
| marginal distributionnoun | The projection of a joint probability distribution onto one of its component random variables. |
| bayesian inference | (or ) a method of statistical inference in which Bayes' theorem is used to calculate a probability of a hypothesis, given prior evidence, and update it as more information becomes available. |
| regular conditional probability | In probability theory, regular conditional probability is a concept that formalizes the notion of conditioning on the outcome of a random variable. |
| prediction interval | In statistical inference, specifically predictive inference, a prediction interval is an estimate of an interval in which a future observation will fall, with a certain probability, given what has already been observed. |
| likelihood function | A likelihood function (often simply called the likelihood) measures how well a statistical model explains observed data by calculating the probability of seeing that data under different parameter values of the model. |
| probability mass functionnoun | (mathematics) A function that gives the relative probability that a discrete random variable is exactly equal to some value. |
| bayesian inference in phylogeny | Bayesian inference of phylogeny combines the information in the prior and in the data likelihood to create the so-called posterior probability of trees, which is the probability that the tree is correct given the data, the prior and the likelihood model. |
| maximum likelihood estimation | In statistics, maximum likelihood estimation is a method of estimating the parameters of an assumed probability distribution, given some observed data. |
| statistical inferencenoun | (statistics) The drawing of conclusions about a population from a random sample drawn from it, or, more generally, about a random process from its observed behavior during a finite period of time. |
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