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  2. Maximum a posteriori estimation - Wikipedia

    en.wikipedia.org/wiki/Maximum_a_posteriori...

    An estimation procedure that is often claimed to be part of Bayesian statistics is the maximum a posteriori (MAP) estimate of an unknown quantity, that equals the mode of the posterior density with respect to some reference measure, typically the Lebesgue measure.

  3. Expectation–maximization algorithm - Wikipedia

    en.wikipedia.org/wiki/Expectation–maximization...

    The EM method was modified to compute maximum a posteriori (MAP) estimates for Bayesian inference in the original paper by Dempster, Laird, and Rubin. Other methods exist to find maximum likelihood estimates, such as gradient descent, conjugate gradient, or variants of the Gauss–Newton algorithm. Unlike EM, such methods typically require the ...

  4. Posterior probability - Wikipedia

    en.wikipedia.org/wiki/Posterior_probability

    From a given posterior distribution, various point and interval estimates can be derived, such as the maximum a posteriori (MAP) or the highest posterior density interval (HPDI). [4] But while conceptually simple, the posterior distribution is generally not tractable and therefore needs to be either analytically or numerically approximated.

  5. Empirical Bayes method - Wikipedia

    en.wikipedia.org/wiki/Empirical_Bayes_method

    To apply empirical Bayes, we will approximate the marginal using the maximum likelihood estimate (MLE). But since the posterior is a gamma distribution, the MLE of the marginal turns out to be just the mean of the posterior, which is the point estimate E ⁡ ( θ ∣ y ) {\displaystyle \operatorname {E} (\theta \mid y)} we need.

  6. Bayesian inference - Wikipedia

    en.wikipedia.org/wiki/Bayesian_inference

    Bayesian inference (/ ˈ b eɪ z i ə n / BAY-zee-ən or / ˈ b eɪ ʒ ən / BAY-zhən) [1] is 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.

  7. Here's what to expect when Congress convenes to certify the ...

    www.aol.com/heres-expect-congress-convenes...

    Certifying the vote. Procession of the ballots: The sealed votes arrived at the Capitol addressed to the vice president in her role as president of the Senate. The votes are placed in ceremonial ...

  8. Bayes estimator - Wikipedia

    en.wikipedia.org/wiki/Bayes_estimator

    In estimation theory and decision theory, a Bayes estimator or a Bayes action is an estimator or decision rule that minimizes the posterior expected value of a loss function (i.e., the posterior expected loss).

  9. US FDA proposes standardized testing to detect asbestos in ...

    www.aol.com/news/us-fda-proposes-standardized...

    In its proposed rule, the FDA would require manufacturers to test a sample of each batch of a talc-containing cosmetic product for asbestos by using methods such as polarized light and ...