Sentence examples for mean and variance from inspiring English sources

Just, mean and variance are constant.

So that's in the Gaussian to mean and variance.

Therefore, both mean and variance predictions are required.

The nonstationarity in mean and variance is also eliminated.

So it had two parameters: mean and variance.

Batch normalization layers59 normalize their inputs based on mean and variance statistics.

Its mean and variance are both equal to μt.

The mean and variance constant is one simplistic way of thinking about this.

Basic notations: graphs, random variables, mean and variance, linearity of expectations.

But those are not the mean and variance anymore, because you skew the distribution.

Begins with basics: combinatorial probability, mean and variance, independence, conditional probability and Bayes formula.