图 书 馆
在度量分析中应用德尔塔方法：一个具有新颖想法的实用指南Applying the Delta method in metric analytics: A practical guide with novel ideas |
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| 课程网址: | http://videolectures.net/kdd2018_lu_metric_analytics/ |
| 主讲教师: | Jiannan Lu |
| 开课单位: | 微软 |
| 开课时间: | 2018-11-23 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | During the last decade, the information technology industry has adopted a data-driven culture, relying on online metrics to measure and monitor business performance. Under the setting of big data, the majority of such metrics approximately follow normal distributions, opening up potential opportunities to model them directly without extra model assumptions and solve big data problems via closed-form formulas using distributed algorithms at a fraction of the cost of simulation-based procedures like bootstrap. However, certain attributes of the metrics, such as their corresponding data generating processes and aggregation levels, pose numerous challenges for constructing trustworthy estimation and inference procedures. Motivated by four real-life examples in metric development and analytics for large-scale A/B testing, we provide a practical guide to applying the Delta method, one of the most important tools from the classic statistics literature, to address the aforementioned challenges. We emphasize the central role of the Delta method in metric analytics by highlighting both its classic and novel applications. |
| 关 键 词: | 度量分析; 应用德尔塔方法; 新颖想法的实用指南; 大规模A/B测试; 数据驱动的文化; 基于模拟的程序 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2023-03-27：cyh |
| 最后编审: | 2023-03-27：cyh |
| 阅读次数: | 34 |