Particle Markov chain Monte Carlo methods
Markov chain Monte Carlo and sequential Monte Carlo methods have emerged as the two main tools to sample from high dimensional probability distributions. Although asymptotic convergence of Markov chain Monte Carlo algorithms is ensured under weak assumptions, the performance of these algorithms is u...
| Huvudupphovsmän: | , , |
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| Materialtyp: | Journal article |
| Språk: | English |
| Publicerad: |
2010
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