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Bayesian Inference Let X be a random variable representing the outcome of a biased coin with possible outcomes & = {0, 1}, x E X.

Bayesian Inference
Let X be a random variable representing the outcome of a biased coin with possible outcomes & = {0, 1}, x E X. The bias of the coin is itself controlled by a random variable O, with outcomes ] 0 E 0, where 0 = 10 ER : 0

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Bayesian Inference Let X be a random variable representing the outcome of a biased coin with possible outcomes & = {0, 1}, x E X.

Bayesian Inference Let X be a random variable representing the outcome of a biased coin with possible outcomes & = {0, 1}, x E X. The bias of the coin is itself controlled by a random variable O, with outcomes ] 0 E 0, where 0 = 10 ER : 0

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Recommended Textbook for

Calculus Single Variable

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Bayesian Inference
Let X be a random variable representing the outcome of a biased coin with possible outcomes & = {0, 1}, x E X. The bias of the coin is itself controlled by a random variable O, with outcomes ] 0 E 0, where 0 = 10 ER : 0