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Alina
Alina
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The advantage of Bayesian A/B testing is that it considers our prior belief about the distribution. However, sometimes we do not have this, so we set prior to be uniform and work with visits and conversion counts. Why iswould one still use Bayesian A/B testing then still betterrather than a frequentist testing?

The advantage of Bayesian A/B testing is that it considers our prior belief about the distribution. However, sometimes we do not have this, so we set prior to be uniform and work with visits and conversion counts. Why is Bayesian A/B testing then still better than a frequentist testing?

The advantage of Bayesian A/B testing is that it considers our prior belief about the distribution. However, sometimes we do not have this, so we set prior to be uniform and work with visits and conversion counts. Why would one still use Bayesian A/B testing rather than a frequentist testing?

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Alina
Alina
  • 1.2k
  • 3
  • 11
  • 22

Bayesian A/B testing with uniform prior

The advantage of Bayesian A/B testing is that it considers our prior belief about the distribution. However, sometimes we do not have this, so we set prior to be uniform and work with visits and conversion counts. Why is Bayesian A/B testing then still better than a frequentist testing?