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Tuesday, July 2, 2019 - 10:15 in V4-119


Moments of scores

A talk in the Geometric Analysis Seminar series by
Sergey Bobkov from University of Minnesota

Abstract: If a random variable $X$ has an absolutely continuous density $f(x)$, its score is defined to be the random variable  $\rho(X) = f'(X)/f(X)$, where $f'(x)$ is the derivative of $f$. We will discuss upper bounds on the moments of the scores, especially in the case when $X$ represents the sum of independent random variables.



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