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In probability theory, a normalizing constant or normalizing factor is used to reduce any nonnegative function whose integral is finite to a probability density function.

For example, a Gaussian function can be normalized into a probability density function, which gives the standard normal distribution. In Bayes' theorem, a normalizing constant is used to ensure that the sum of all possible hypotheses equals 1. Other uses of

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