Bootstrap Markov chain Monte Carlo and optimal solutions for the Law of Categorical Judgment (Corrected)
A novel procedure is described for accelerating the convergence of Markov chain Monte Carlo computations. The algorithm uses an adaptive bootstrap technique to generate candidate steps in the Markov Chain. It is efficient for symmetric, convex probability distributions, similar to multivariate Gauss...
| Những tác giả chính: | , |
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| Định dạng: | Working paper |
| Ngôn ngữ: | English |
| Được phát hành: |
2010
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| Những chủ đề: |