Target distribution is multimodal, 24 dimensions, continuous state space. For MCMC integration (MH sampler) I use a manually tuned proposal distribution.

When I measure the convergence rate numerically I observe only a *polynomial* convergence rate.

I have a complete freedom of choice for the proposal distribution. Are there practically useful conditions to quickly check if a particular proposal distribution leads to the *geometric* convergence rate?