Markov chain Monte Carlo: innovations and applications
Saved in:
| Format: | Electronic eBook |
|---|---|
| Language: | English |
| Published: |
Singapore ; Hackensack, NJ
World Scientific
2005
|
| Series: | Lecture notes series (National University of Singapore. Institute for Mathematical Sciences)
v. 7 |
| Subjects: | |
| Physical Description: | 1 online resource (xviii, 220 pages) illustrations |
| ISBN: | 9812564276 9789812564276 9812700919 9789812700919 1281881139 9781281881137 |
Staff View
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| 505 | 8 | |a Markov Chain Monte Carlo (MCMC) originated in statistical physics, but has spilled over into various application areas, leading to a corresponding variety of techniques and methods. That variety stimulates new ideas and developments from many different places, and there is much to be gained from cross-fertilization. This book presents five expository essays by leaders in the field, drawing from perspectives in physics, statistics and genetics, and showing how different aspects of MCMC come to the fore in different contexts. The essays derive from tutorial lectures at an interdisciplinary progr | |
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| contents | Markov Chain Monte Carlo (MCMC) originated in statistical physics, but has spilled over into various application areas, leading to a corresponding variety of techniques and methods. That variety stimulates new ideas and developments from many different places, and there is much to be gained from cross-fertilization. This book presents five expository essays by leaders in the field, drawing from perspectives in physics, statistics and genetics, and showing how different aspects of MCMC come to the fore in different contexts. The essays derive from tutorial lectures at an interdisciplinary progr |
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| dewey-full | 530.13 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 530 - Physics |
| dewey-raw | 530.13 |
| dewey-search | 530.13 |
| dewey-sort | 3530.13 |
| dewey-tens | 530 - Physics |
| discipline | Physik |
| format | Electronic eBook |
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| id | DE-604.BV045342593 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:15:27Z |
| institution | BVB |
| isbn | 9812564276 9789812564276 9812700919 9789812700919 1281881139 9781281881137 |
| language | English |
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| physical | 1 online resource (xviii, 220 pages) illustrations |
| psigel | ZDB-4-ENC |
| publishDate | 2005 |
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| publishDateSort | 2005 |
| publisher | World Scientific |
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| series2 | Lecture notes series (National University of Singapore. Institute for Mathematical Sciences) |
| spelling | Markov chain Monte Carlo innovations and applications edited by W.S. Kendall, F. Liang, J.-S. Wang Singapore ; Hackensack, NJ World Scientific 2005 1 online resource (xviii, 220 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Lecture notes series (National University of Singapore. Institute for Mathematical Sciences) v. 7 Markov Chain Monte Carlo (MCMC) originated in statistical physics, but has spilled over into various application areas, leading to a corresponding variety of techniques and methods. That variety stimulates new ideas and developments from many different places, and there is much to be gained from cross-fertilization. This book presents five expository essays by leaders in the field, drawing from perspectives in physics, statistics and genetics, and showing how different aspects of MCMC come to the fore in different contexts. The essays derive from tutorial lectures at an interdisciplinary progr SCIENCE / Physics / General bisacsh Bayesian statistical decision theory fast Markov processes fast Monte Carlo method fast Markov-processen gtt Monte Carlo-methode gtt Simulatiemodellen gtt Monte Carlo method Bayesian statistical decision theory Markov processes Markov-Ketten-Monte-Carlo-Verfahren (DE-588)4508520-1 gnd rswk-swf Markov-Ketten-Monte-Carlo-Verfahren (DE-588)4508520-1 s 1\p DE-604 Kendall, W. S. Sonstige oth Liang, F. 1970- Sonstige oth Wang, J.-S. 1960- Sonstige oth Erscheint auch als Druck-Ausgabe Markov chain Monte Carlo Singapore ; Hackensack, NJ : World Scientific, 2005 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Markov chain Monte Carlo innovations and applications Markov Chain Monte Carlo (MCMC) originated in statistical physics, but has spilled over into various application areas, leading to a corresponding variety of techniques and methods. That variety stimulates new ideas and developments from many different places, and there is much to be gained from cross-fertilization. This book presents five expository essays by leaders in the field, drawing from perspectives in physics, statistics and genetics, and showing how different aspects of MCMC come to the fore in different contexts. The essays derive from tutorial lectures at an interdisciplinary progr SCIENCE / Physics / General bisacsh Bayesian statistical decision theory fast Markov processes fast Monte Carlo method fast Markov-processen gtt Monte Carlo-methode gtt Simulatiemodellen gtt Monte Carlo method Bayesian statistical decision theory Markov processes Markov-Ketten-Monte-Carlo-Verfahren (DE-588)4508520-1 gnd |
| subject_GND | (DE-588)4508520-1 |
| title | Markov chain Monte Carlo innovations and applications |
| title_auth | Markov chain Monte Carlo innovations and applications |
| title_exact_search | Markov chain Monte Carlo innovations and applications |
| title_full | Markov chain Monte Carlo innovations and applications edited by W.S. Kendall, F. Liang, J.-S. Wang |
| title_fullStr | Markov chain Monte Carlo innovations and applications edited by W.S. Kendall, F. Liang, J.-S. Wang |
| title_full_unstemmed | Markov chain Monte Carlo innovations and applications edited by W.S. Kendall, F. Liang, J.-S. Wang |
| title_short | Markov chain Monte Carlo |
| title_sort | markov chain monte carlo innovations and applications |
| title_sub | innovations and applications |
| topic | SCIENCE / Physics / General bisacsh Bayesian statistical decision theory fast Markov processes fast Monte Carlo method fast Markov-processen gtt Monte Carlo-methode gtt Simulatiemodellen gtt Monte Carlo method Bayesian statistical decision theory Markov processes Markov-Ketten-Monte-Carlo-Verfahren (DE-588)4508520-1 gnd |
| topic_facet | SCIENCE / Physics / General Bayesian statistical decision theory Markov processes Monte Carlo method Markov-processen Monte Carlo-methode Simulatiemodellen Monte Carlo method Bayesian statistical decision theory Markov processes Markov-Ketten-Monte-Carlo-Verfahren |
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