On Gibbs Sampling for Endpoint-Conditioned Neighbor-Dependent Sequence Evolution Models
指出Hobolth (2008)提出的邻依赖DNA序列进化路径采样算法有误，给出Metropolis接受步修正，并推荐更高效的简化Metropolis提议。
Hobolth (2008) describes an algorithm for sampling paths in models of DNA sequence evolution with neighbor dependence. We show that this algorithm fails to sample the desired target distribution, and provide a simple Metropolis acceptance step correction. We also compare to a simpler Metropolis proposal, which appears to be more efficient and which we recommend instead. We demonstrate the impact of the correction on a parameter estimation problem studied in the original paper.