期刊论文详细信息
| Bayesian Analysis | |
| Efficient Metropolis–Hastings Proposal Mechanisms for Bayesian Regression Tree Models | |
| Matthew T. Pratola1  | |
| 关键词: Markov chain Monte Carlo; proposal distribution; computer experiments; uncertainty quantification; credible interval; coverage probability; | |
| DOI : 10.1214/16-BA999 | |
| 学科分类:统计和概率 | |
| 来源: Institute of Mathematical Statistics | |
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【 摘 要 】
Bayesian regression trees are flexible non-parametric models that are well suited to many modern statistical regression problems. Many such tree models have been proposed, from the simple single-tree model to more complex tree ensembles. Their nonparametr
【 授权许可】
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【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201909025768671ZK.pdf | 537KB |
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