A Bernoulli trial is the flipping of a (possibly biased) coin. A Bernoulli trial can have only 2 possible outcomes: success or failure.
A Bernoulli trial can be constructed out of smaller Bernoulli trials. Combine small results with a boolean function. Examples: "at least one success", "flawless victory".
Things composed of smaller similar things are generally intriguing, but I don't know where this might be useful.
What is the distribution of the number of small trials necessary to sample a composite Bernoulli trial? Allow short-circuit boolean function evaluation.
Generalizing further yields a Bayesian network.
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