/plushcap/analysis/launchdarkly/launchdarkly-frequentist-or-bayesian-experimentation

Frequentist or Bayesian? The choice is yours with LaunchDarkly

What's this blog post about?

At LaunchDarkly, the introduction of Frequentist and Bayesian statistical models gives teams the flexibility to choose their preferred approach when designing experiments. This allows teams to work more collaboratively by focusing on interpreting results and driving action, rather than debating methodologies. The tool now provides a toggle for selecting between Frequentist and Bayesian analysis types, along with enhancements such as improved results presentation and a sample size calculator. With this flexibility, LaunchDarkly aims to make experimentation more accessible and flexible, allowing teams to trust the results of their experiments and eliminate friction in experimentation.

Company
LaunchDarkly

Date published
Dec. 13, 2024

Author(s)
Allison Rogers

Word count
552

Language
English

Hacker News points
None found.


By Matt Makai. 2021-2024.