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factors on the Hessian for the MVN proposal density. However, we expect higher acceptance rates as the target posterior density approaches an MVN asymptotically. Since none of the steps in the algorithm grows faster than linearly in N , we are confident in the scalability of the overall algorithm. 

## 5 Estimating Marginal Likelihoods 

Now, we turn to another advantage of our method: the ability to generate accurate estimates of the marginal likelihood of the data with little additional computation. A number of researchers have 

