Carrier Losses

An assumption and only an assumption.

Losses will run into millions of dollars.

He suffered great losses.

And no losses, zero.

They experienced dreadful losses.

That's one hell of an assumption.

So I'm just taking huge losses and Vikram is taking huge losses, right?

The storm brought heavy losses.

The company suffered big losses.

She put on an assumption of ignorance.

And finally there's this assumption of homoskedasticity.

And most of those losses are because of things we know.

Their losses reached one million yen.

His business resulted in heavy losses.

Biologists assert the losses are severe.

Their recovered losses are going up.

We had some unexpected losses recently.

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

That's just an assumption.

It's all assumption driven.

Seems the logical assumption.

That's a hell of an assumption to make...

Next assumption and of course the events of July 7,

Farmers suffered crop losses from poor weather.

People suffered heavy losses in the eruptions.

We estimated his losses at 100 dollars.

We have suffered considerable losses against him

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

How would we detect a violation of that assumption?

What about the second assumption?

And of course, all crop losses are related to weather modification problems.

We estimated the losses as exactly as possible.

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?

So that's what statisticians would call an assumption of independence.

So we can't make any attempt of assumption like that.

The financial system is built on the assumption of growth

We can make the Markov assumption and that's the assumption that the effect of one variable on another will be local.

And this is a huge assumption.

It's a reasonable assumption I think.

That's why this assumption is important.

But that assumption was a problem.

The assumption is something like this.

Perhaps it was just an assumption.