What do the terms "nearly-optimal rate", "near-minimax rate", "minimax optimal rate" and "minimax rate" mean in the context of posterior consistency? Definition: A sequence $\epsilon_n$ is a posterior contraction rate at the parameter $θ_0$ if $$\Pi_n(θ: d(θ, θ_0) ≥ M_n \epsilon_n| X^{(n)}) → 0$$ in $P^{(n)}_{θ_0}$-probability, for every $M_n → ∞$.
I am studying the subject of posterior consistency. While this subject seems straight forward there are few keywords used which I can't find any definition for. Most of these terms are used in the literature and published papers where the author assumes prior knowledge of this subject by the reader. From farther reading, it seems that these "rates" are related to the contraction rate and seem to originate from the Minimax theory/criterion however I still haven't found any definition for them or their relationship to the contraction rate $\epsilon_n$.
Could you please provide me with any helpful definition for these terms or direct me to a source where they are explained?
Some papers:
https://arxiv.org/pdf/1712.08964.pdf
https://arxiv.org/pdf/1811.06198.pdf
https://arxiv.org/pdf/0910.2042.pdf

Can't comment due to lack of rep, but think I may be able to add some useful input if you haven't figured it out already.
I believe what you are missing here is that the speed of convergence of the mass of the posterior on the true value is an important factor and that this is likely what is being referred to as the rate (it would be useful if you gave a reference to the literature you're talking about).
Showing that updates to the posterior are a contraction about the true value of the parameter demonstrates consistency.
Then placing bounds on that contraction rate (via minmax) will allow you to guarantee some rate of convergence on the true value.
So convergence and contraction are sort of related concepts here. The Terminology might be more usefully explained in texts on real analysis, dynamical systems, optimisation etc. than statistics.
