Inverse transform sampling is a method used to generate random samples from a specified probability distribution by utilizing the cumulative distribution function (CDF) of that distribution. This technique transforms uniformly distributed random numbers into samples from a desired distribution, making it essential for various applications in simulation and statistical modeling.
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