Tightness of Bernstein's inequality and Hoeffding's inequality

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Let $\{ X_t \}$ be independent zero mean random variables, and $|X_t|<R$. Bernstein's inequality yields: $$\mathbb{P} \left( \sum_{t=1}^{T}X_{i} \geq \varepsilon \right) \leq \exp \left( \frac{ -\frac{1}{2}\varepsilon^{2} }{ \sum_{t=1}^{T} \mathbb{E} \left[ X_{t}^{2} \right] +\frac{1}{3}R\varepsilon } \right).$$ Azuma's inequality (Hoeffding's inequality) yields: $$\mathbb{P} \left( \sum_{t=1}^{T}X_{t} \geq \varepsilon \right) \leq \exp \left( \frac{-\frac12 \varepsilon^{2}}{ TR^2 } \right).$$ Apparently, for large $\varepsilon$, Hoeffding's inequality is better; while for $\mathrm{var}(X_t)<R^2$ and $\varepsilon<TR$, Bernstein's inequality is better. So Question 1: Is Bernstein/Hoeffding tight? Question 2: Is there any inequality that combines Bernstein+Hoeffding? Q3: Is there any inequality that is tight in both regimes?