| Presentation | 2010-06-15 Recent Developments in Markov-chain Monte Carlo Method Koji HUKUSHIMA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Markov-chain Monte Carlo methods are one of the efficient numerical tools that generate samples from a given high-dimensional probability distribution and calculate expectation values of some function under the distribution. Recently developed methods based on an extended ensemble idea enable us to sample even from a difficult probability distribution with multiple peaks. Here we review the extended-ensemble based Monte Carlo methods and give some topics that consists of a numerical enumeration method and rare-event sampling. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Markov-chain Monte Carlo method / extended ensemble / rare-events sampling |
| Paper # | IBISML2010-17 |
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| Conference Information | |
| Committee | IBISML |
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| Conference Date | 2010/6/7(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Information-Based Induction Sciences and Machine Learning (IBISML) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Recent Developments in Markov-chain Monte Carlo Method |
| Sub Title (in English) | |
| Keyword(1) | Markov-chain Monte Carlo method |
| Keyword(2) | extended ensemble |
| Keyword(3) | rare-events sampling |
| 1st Author's Name | Koji HUKUSHIMA |
| 1st Author's Affiliation | Department of Basic Science, University of Tokyo() |
| Date | 2010-06-15 |
| Paper # | IBISML2010-17 |
| Volume (vol) | vol.110 |
| Number (no) | 76 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |