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具有战略数据源的最优统计估计Optimum Statistical Estimation with Strategic Data Sources |
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| 课程网址: | https://videolectures.net/videos/colt2015_daskalakis_data_sources |
| 主讲教师: | Constantinos Daskalakis |
| 开课单位: | 信息不详。欢迎您在右侧留言补充。 |
| 开课时间: | 2025-02-04 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We propose an optimum mechanism for providing monetary incentives to the data sources of a statistical estimator such as linear regression, so that high quality data is provided at low cost, in the sense that the weighted sum of payments and estimation error is minimized. The mechanism applies to a broad range of estimators, including linear and polynomial regression, kernel regression, and, under some additional assumptions, ridge regression. It also generalizes to several objectives, including minimizing estimation error subject to budget constraints. Besides our concrete results for regression problems, we contribute a mechanism design framework through which to design and analyze statistical estimators whose examples are supplied by workers with cost for labeling said examples. |
| 关 键 词: | 估计误差; 货币激励; 回归问题 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2025-03-27：zsp |
| 最后编审: | 2025-03-27：zsp |
| 阅读次数: | 80 |