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docs/src/math/bregman.md

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@@ -51,7 +51,7 @@ The log-partition function $G(\theta)$ ensures that the probability distribution
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```math
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\mu = \mathbb{E}_{\theta}[X] = \nabla_\theta G(\theta) = g(\theta)
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```
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where $E_\theta$ is the expectation with respect to the distribution $p_\theta$ (see [appendix](./appendix/expectation.md)). Similarly, we also have $\theta = f(\mu)$ (see [appendix])(./appendix/inverses.md).
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where $E_\theta$ is the expectation with respect to the distribution $p_\theta$ (see [appendix](./appendix/expectation.md)). Similarly, we also have $\theta = f(\mu)$ (see [appendix](./appendix/inverses.md)).
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[^1]: The sufficient statistic for the natural exponential family is simply the identity.
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