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add explanation for infinite support
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lectures/prob_dist.md

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where $\lambda \in [0,1]$ is a parameter
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(A discrete distribution has infinite support if the set of points to which it assigns positive probability is infinite.)
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To understand the distribution, think of repeated independent random trials, each with success probability $\theta$.
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The interpretation of $p(i)$ is: the probability there are $i$ failures before the first success occurs.

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