enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Posterior predictive distribution - Wikipedia

    en.wikipedia.org/wiki/Posterior_predictive...

    In Bayesian statistics, the posterior predictive distribution is the distribution of possible unobserved values conditional on the observed values. [1] [2]Given a set of N i.i.d. observations = {, …,}, a new value ~ will be drawn from a distribution that depends on a parameter , where is the parameter space.

  3. Posterior probability - Wikipedia

    en.wikipedia.org/wiki/Posterior_probability

    In the context of Bayesian statistics, the posterior probability distribution usually describes the epistemic uncertainty about statistical parameters conditional on a collection of observed data. From a given posterior distribution, various point and interval estimates can be derived, such as the maximum a posteriori (MAP) or the highest ...

  4. Big Five personality traits - Wikipedia

    en.wikipedia.org/wiki/Big_Five_personality_traits

    The Pathoplasty Model: This model proposes that premorbid personality traits impact the expression, course, severity, and/or treatment response of a mental disorder. [193] [199] [80] An example of this relationship would be a heightened likelihood of committing suicide in a depressed individual who also has low levels of constraint. [199]

  5. Approximate Bayesian computation - Wikipedia

    en.wikipedia.org/wiki/Approximate_Bayesian...

    Step 5: The posterior distribution is approximated with the accepted parameter points. The posterior distribution should have a non-negligible probability for parameter values in a region around the true value of in the system if the data are sufficiently informative. In this example, the posterior probability mass is evenly split between the ...

  6. Bayesian statistics - Wikipedia

    en.wikipedia.org/wiki/Bayesian_statistics

    The inference process generates a posterior distribution, which has a central role in Bayesian statistics, together with other distributions like the posterior predictive distribution and the prior predictive distribution. The correct visualization, analysis, and interpretation of these distributions is key to properly answer the questions that ...

  7. Conjugate prior - Wikipedia

    en.wikipedia.org/wiki/Conjugate_prior

    This is the posterior predictive column in the tables below. Returning to our example, if we pick the Gamma distribution as our prior distribution over the rate of the Poisson distributions, then the posterior predictive is the negative binomial distribution, as can be seen from the table below.

  8. Hierarchical structure of the Big Five - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_structure_of...

    [21] [22] They argued that intercorrelations between personality factors of the Big Five and the HEXACO model can be explained due to lower order traits that represent blends of otherwise orthogonal factors, and that postulating higher-order factors is unnecessary. For example, interpersonal warmth blends both extraversion and agreeableness.

  9. Bayesian experimental design - Wikipedia

    en.wikipedia.org/wiki/Bayesian_experimental_design

    In numerous publications on Bayesian experimental design, it is (often implicitly) assumed that all posterior probabilities will be approximately normal. This allows for the expected utility to be calculated using linear theory, averaging over the space of model parameters. [2]