Bernoulli process

Bernoulli process
伯努利过程
In a stochastic computer, values are represented as a stream of outcomes of a Bernoulli process. In such a computer, each value is represented by the probability of a particular state in the Bernoulli process. For example, a value of “0.7” would be represented by a stream of outcomes in which the probability that a particular outcome is in a first state is 0.7 and the probability that a particular outcome is in a second state is 0.3. Accordingly, in a stochastic computer, one can estimate the value that is being represented by observing the outcome stream that represents that value. The longer one observes the outcome stream, the more accurate the estimate will be. The use of outcome streams to represent values offers numerous advantages. For example, to multiply two numbers, a conventional computer would need to carry out a fairly complex procedure. In contrast, to multiply the same two numbers in a stochastic computer, one need only use an “AND” gate to “and” together corresponding bits in the two outcome streams as they arrive. In a typical stochastic computer, the outcomes of the Bernoulli process are generated by a random number generator.
行为学数据一般是一个伯努利过程，其数据呈现为二项分布，可以直接定义在观察到反应y下θ参数的似然值，似然值l(θ, y)在数值上和概率p(y|θ) (即方程参数为θ时观察到反应y的概率) 相等。"

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Bernoulli process
伯努里过程;伯努利过程

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Bernoulli process
貝努里處理

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Bernoulli process
柏努利過程

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