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fix typo in docs
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Red-Portal authored Dec 3, 2023
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The exact rank hypothesis testing strategy is based on Algorithm 2 by Gandy & Scott (2021)[^GS2021].

## `ExactRankTest`
The ranks are computed by simulating a single Markov chain backwards and forward.
The ranks are computed by simulating a single Markov chain backward and forward.
First, a random midpoint is simulated as
```math
\begin{aligned}
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\theta_1,\; \ldots, \; \theta_{M},\; \ldots, \; \theta_{L}.
```
The *rank* is the ranking of the statistics of $\theta_{M}$.
If the sampler and the model are correct, the rank has an uniform distribution as long as the midpoint is independently sampled.
If the sampler and the model are correct, the rank is uniformly distributed as long as the midpoint is independently sampled.

```@docs
ExactRankTest
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