conditional probability densityの例文

例文

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1. A similar equation holds for the conditional probability density functions in the continuous case.
2. Then the unnormalized conditional probability density p ( x, t ) of the state at time t is given by the Zakai equation:
3. If learning is successful, l ( n | m ) becomes a conditional probability density function, a probabilistic measure that signal in neuron n originated from object m.
4. With the first equality by definition of conditional probability density, the second by the remark above, the third by the equality proven above, and the fourth by simplification.
5. The concept of the conditional distribution of a continuous random variable is not as intuitive as it might seem : Borel's paradox shows that conditional probability density functions need not be invariant under coordinate transformations.