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Below is more general Pareto characterization of the left tail of a random variable.
Two of the new parameters come from the affine transformation (shift and scale), while the theta represents the parameter of the Bernoulli mixing variable.
I posted my discussion notes from out case about conditional expectation, including the observation about the connection with OLS regression.
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