1 Matching Annotations
- Jan 2022
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1.1 Bernoulli distribution
$$ Y \sim f_{B}(y ; \theta)= \begin{cases}\theta^{y}(1-\theta)^{1-y} & \forall y \in\{0,1\} \\ 0 & \text { otherwise }\end{cases} $$
$$E[Y]=\theta$$
$$var(Y)=\theta(1-\theta)$$
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