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Lean Six Sigma dictionary of terms

1 year 7 months ago #724
by dorina
*Prior Probability* was created by *dorina*

In Bayesian statistical inference, a prior probability distribution, often simply called the prior, of an uncertain quantity is the probability distribution that would express one's beliefs about this quantity before some

evidence is taken into account. For example, the prior could be the

probability distribution representing the relative proportions of voters

who will vote for a particular politician in a future election. The

unknown quantity may be a parameter of the model or a latent variable rather than an observable variable.

https://en.wikipedia.org/wiki/Prior_probability

evidence is taken into account. For example, the prior could be the

probability distribution representing the relative proportions of voters

who will vote for a particular politician in a future election. The

unknown quantity may be a parameter of the model or a latent variable rather than an observable variable.

https://en.wikipedia.org/wiki/Prior_probability

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