Bernoulli distribution exponential family¶

\[Ber(x|\mu) = (1 - \mu) \exp[ x \log (\frac{\mu}{ 1 - \mu})] \]
  • \(\phi(x) = x\)

  • \(\theta = \log (\frac{\mu}{1 - \mu})\) this is the log odds ratio

  • \(Z = 1 / (1 - \mu)\)

We can recover the mean parameter \(\mu\) form the canonical form using:

\(\mu = sigm(\theta) = \frac{1}{1 + e^{-\theta}}\)