| 来源类型 | Monograph (IIASA Interim Report) |
| 规范类型 | 报告 |
| Posterior Integration of Independent Stochastic Estimates. | |
| Kryazhimskiy AV | |
| 发表日期 | 2013 |
| 出版者 | IIASA, Laxenburg, Austria: IR-13-006 |
| 出版年 | 2013 |
| 语种 | 英语 |
| 摘要 | We develop a unified approach to posterior integration of prior stochastic estimates (probability distributions) provided by independent statistically inaccurate observation methods. Our departure point is the posterior event formed in the product of the probability spaces associated with the prior stochastic estimates. The Bayesian probability conditioned to the posterior event has identical projections onto the coordinate spaces; its common projection is defined to be the posterior integrated stochastic estimate. We view integration as a binary operation on the set of all probabilities on a given finite set of elementary events and analyze its algebraic properties. We show how integration changes the information quality of the integrated probabilities and study integral convergence properties of infinite sequences of probabilities. |
| 主题 | Advanced Systems Analysis (ASA) |
| URL | http://pure.iiasa.ac.at/id/eprint/10751/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/125977 |
| 推荐引用方式 GB/T 7714 | Kryazhimskiy AV. Posterior Integration of Independent Stochastic Estimates.. 2013. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| IR-13-006.pdf（403KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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