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8 votes
1 answer
2k views

Taylor expansion of cumulant generating function

For the characteristic function $\mathbf E e^{i t X}$ of a random variable $X$ with $n+1$ finite moments, there is the well known and easy to prove bound on the remainder of the Taylor series $$\left\...
Julian's user avatar
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3 votes
1 answer
210 views

Probabilistic Taylor theorem for concave functions

This paper proves a probabilistic version of Taylor's theorem \begin{equation*} \mathbb{E}g(X) = \sum_{k=0}^{n-1} \frac{g^{(k)}(0)}{k!} \mathbb{E}X^k + \frac{\mathbb{E}X^n}{n!} \mathbb{E} g^{(n)}(X_{(...
Dejan Evisal's user avatar