• A likelihood function (often simply called the likelihood) measures how well a statistical model explains observed data by calculating the probability...
    64 KB (8,534 words) - 19:57, 20 July 2024
  • distribution, given some observed data. This is achieved by maximizing a likelihood function so that, under the assumed statistical model, the observed data is...
    66 KB (9,623 words) - 15:33, 31 August 2024
  • Thumbnail for Beta distribution
    distribution resulting from applying Bayes theorem to a binomial likelihood function and a prior probability, the interpretation of the addition of both...
    243 KB (40,380 words) - 08:10, 19 June 2024
  • Thumbnail for Logistic regression
    measure of goodness-of-fit is the likelihood function L, or its logarithm, the log-likelihood ℓ. The likelihood function L is analogous to the ε 2 {\displaystyle...
    127 KB (20,643 words) - 16:36, 18 September 2024
  • In Bayesian probability theory, if, given a likelihood function p ( x ∣ θ ) {\displaystyle p(x\mid \theta )} , the posterior distribution p ( θ ∣ x )...
    33 KB (2,251 words) - 16:48, 16 May 2024
  • Informant (statistics) (category Maximum likelihood estimation)
    statistics, the score (or informant) is the gradient of the log-likelihood function with respect to the parameter vector. Evaluated at a particular point...
    18 KB (2,773 words) - 13:36, 23 August 2024
  • A marginal likelihood is a likelihood function that has been integrated over the parameter space. In Bayesian statistics, it represents the probability...
    6 KB (891 words) - 21:20, 5 March 2024
  • the function above as the definition. Thus, the likelihood ratio is small if the alternative model is better than the null model. The likelihood-ratio...
    17 KB (2,098 words) - 09:11, 20 July 2024
  • is contained in the likelihood function. A likelihood function arises from a probability density function considered as a function of its distributional...
    24 KB (3,091 words) - 04:04, 24 July 2024
  • (statistics), the derivative of the log-likelihood function with respect to the parameter In positional voting, a function mapping the rank of a candidate to...
    413 bytes (85 words) - 19:33, 24 May 2024