covariance

We have both temporal precedence and covariance; together, these strongly suggest that tDCS is responsible for the observed effects.

Our technology was validated for accuracy against the gold standard research tools used in academia, lysimetry and eddy covariance.

Then the variance for the expected rating can be calculated as a weighted sum of the values in the covariance matrix.

It is not at all a stretch to say that the type mechanics of function composition are based on contravariance/covariance matching.

The covariance between insulin, inflammation, and heart disease is well established at this point.

I understand the covariance bit, but I think I just fail to understand the Java type semantics more broadly.

This is not at all a good explanation of variance, covariance, and correlation.

In the event that we have mutability then we can violate covariance and contravariance as noted.

Even features like covariance or unions are just out of question.

Alternatively you could use the inverse of the covariance matrix as the metric tensor of the properties since there could be quite a few correlations.

I really miss having them when doing work in other languages, even with some of the covariance gotchas, they're just amazingly good.

Principal Component Analysis looks interesting, but I'm struggling to understand how 2D pixel data would be transformed into the appropriate covariance matrix.

Covariance and contravariance are intimately related to "mapping" and only incidentally related to subtype polymorphism.

"Oh yeah, Java totally does covariance in generics by default, but not contravariance" Is this really useful knowledge?

Now, covariance occurs when you can "map" over a structure "in the same direction".

To that list I'd add all the little "quality of life" framework additions, dynamic objects, covariance and contravariance changes, DLR, WPF 4, ASP.

Covariance can still be dealt with to some degree.