This is under the assumption that there's no parallel arcs.

That is, would we expect something this strong under the assumption that the indirect effect is zero?

An assumption and only an assumption.

And this is a huge assumption.

That's why this assumption is important.

And finally there's this assumption of homoskedasticity.

And this risk free is the big assumption.

So I can look at the probability of a certain outcome under the assumption that the correlation's zero.

More data? Making the Markov assumption rather than naive Bayes assumption?

That's just an assumption.

It's all assumption driven.

We're going under the assumption we've got it contained. We're gonna keep it contained until it runs its course.

Let's test this assumption by heading over to Eastern Europe.

Because we'll see later in this video that to some degree, that assumption is one of the biggest drivers of assumption.

What about the second assumption?

So this is the assumption that you get in on that.

This is a feasible goal, basically because, contrary to widespread assumption,

This brings me to the third, and perhaps most problematic, assumption

That's a big assumption, and we could test whether or not that assumption is valid.

Would it be helpful to make a Markov assumption rather than the naive Bayes assumption?

This happened under my nose.

So this is under construction.

This was under the bed.

It gives us the area under the curve, under this curve.

Come up and under and rub under your neck, like this.

Using this assumption, he was able to explain some properties of light.

It's a reasonable assumption I think.

In this case, the problem really comes down to the naive Bayes assumption is a weak one, and the Markov assumption would do much better.

This plan is currently under consideration.

What heading does this come under?

Keep this information under your hat.

I found this under your bed.

This is one nation under God.

What happens under this radical sign?

(CA But this time under control?)

She put on an assumption of ignorance.

What he said bears out my assumption.

That's one of the reasons why making this naive Bayes assumption is so helpful.

There's another tradition that thinks it's opposed to this but accepts the worst assumption.

The second assumption which informs the American view of choice goes something like this.

By average case analysis, I mean, you analyze the average running time of an algorithm under some assumption about the relative frequencies of different inputs.

What heading does this book come under?

It's like a Barbie foot under this.

Under Nirvana they showed this Constable painting.

All this was very much under attack.