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What types of experimentation methodologies does the Uber Experimentation Platform team use?
in Data Science by Diamond (64,808 points) | 59 views

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Above is a chart outlining the types of experimentation methodologies that the Uber Experimentation Platform team uses:

There are various factors that determine which statistics methodology Uber should apply to a given use case. Broadly, they use four types of statistical methodologies:

  1. fixed horizon A/B/N tests (t-test, chi-squared, and rank-sum tests),
  2. sequential probability ratio tests (SPRT),
  3. causal inference tests (synthetic control and diff-in-diff tests), and
  4. continuous A/B/N tests using bandit algorithms (Thompson sampling, upper confidence bounds, and Bayesian optimization with contextual multi-armed-bandit tests, to name a few).

They also apply block bootstrap and delta methods to estimate standard errors, as well as regression-based methods to measure bias correction when calculating the probability of type I and type II errors in their statistical analyses.


by Diamond (64,808 points)

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