https://github.com/finite-sample/total_error
total error
https://github.com/finite-sample/total_error
Last synced: 4 months ago
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total error
- Host: GitHub
- URL: https://github.com/finite-sample/total_error
- Owner: finite-sample
- Created: 2023-06-17T20:40:17.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2023-06-27T01:41:02.000Z (almost 3 years ago)
- Last Synced: 2025-10-10T11:26:00.477Z (8 months ago)
- Language: TeX
- Size: 262 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
## Total Error: Using ML to Measure Total Exposure Online
The consequences of measurement error are well studied. One unusual case that is less studied is when the measure of interest is at a different level than at which the measurement is made. For instance, in browsing data, the measurement is taken at the domain level but the measure of interest is at the user level, e.g., total time spent on pornographic websites. Small biases in measurement at the domain level can dramatically affect the validity of the user-level measures. We illustrate the problem through a small [simulation](sim_total_error.md) and formalize and summarize the issue in a small [note](total_error.pdf).
See also: https://gojiberries.io/2022/05/15/gathering-domain-knowledge/