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  2. Rule of succession - Wikipedia

    en.wikipedia.org/wiki/Rule_of_succession

    In probability theory, the rule of succession is a formula introduced in the 18th century by Pierre-Simon Laplace in the course of treating the sunrise problem. [1] The formula is still used, particularly to estimate underlying probabilities when there are few observations or events that have not been observed to occur at all in (finite) sample data.

  3. Sunrise problem - Wikipedia

    en.wikipedia.org/wiki/Sunrise_problem

    Having found the conditional probability distribution of p given the data, one may then calculate the conditional probability, given the data, that the sun will rise tomorrow. That conditional probability is given by the rule of succession. The plausibility that the sun will rise tomorrow increases with the number of days on which the sun has ...

  4. Additive smoothing - Wikipedia

    en.wikipedia.org/wiki/Additive_smoothing

    Additive smoothing is a type of shrinkage estimator, as the resulting estimate will be between the empirical probability (relative frequency) / and the uniform probability /. Invoking Laplace's rule of succession , some authors have argued [ citation needed ] that α should be 1 (in which case the term add-one smoothing [ 2 ] [ 3 ] is also used ...

  5. Sum of normally distributed random variables - Wikipedia

    en.wikipedia.org/wiki/Sum_of_normally...

    Now, if a, b are any real constants (not both zero) then the probability that + is found by the same integral as above, but with the bounding line + =. The same rotation method works, and in this more general case we find that the closest point on the line to the origin is located a (signed) distance

  6. Probability axioms - Wikipedia

    en.wikipedia.org/wiki/Probability_axioms

    The standard probability axioms are the foundations of probability theory introduced by Russian mathematician Andrey Kolmogorov in 1933. [1] These axioms remain central and have direct contributions to mathematics, the physical sciences, and real-world probability cases. [2] There are several other (equivalent) approaches to formalising ...

  7. Prior probability - Wikipedia

    en.wikipedia.org/wiki/Prior_probability

    For example, the maximum entropy prior on a discrete space, given only that the probability is normalized to 1, is the prior that assigns equal probability to each state. And in the continuous case, the maximum entropy prior given that the density is normalized with mean zero and unit variance is the standard normal distribution.

  8. Coinbase says services restored after outage affects trading ...

    www.aol.com/news/coinbase-says-investigating...

    (Reuters) -Coinbase Global said on Wednesday that all services on its website have been restored after an issue earlier in the day caused some users to see zero balance across their accounts.

  9. Completeness (statistics) - Wikipedia

    en.wikipedia.org/wiki/Completeness_(statistics)

    Galili and Meilijson show that the minimum and maximum of the samples are together a sufficient statistic: (), (using the usual notation for order statistics). Indeed, conditional on these two values, the distribution of the rest of the sample is simply uniform on the range they define: [ X ( 1 ) , X ( n ) ] {\displaystyle \left[X_{(1)},X_{(n ...