We can do the same math as before.

Applying the same logic over here, we transition 3 times out of a sunny state 1, 2, 3 and each time it's a sunny state.

We transition 8 times out of a sunny state 1, 2, 3, 4, 5, 6, 7, 8 twice into a rainy state, and therefore 6 times we remain in a sunny state, so the probability of sun to sun is ¾, whereas sun to rain is ¼.

The maximum likelihood estimate is therefore 0.

Excellent turnout.

This is exquisite. I want to revoke the honorary subreviews I did for you.

Fine.

And I mention that because I think identity is really important.

What's the probability of rain on day 0, and what are its conditional probabilities?

It was such a wonderful movie that I saw it five times.

But in this model, by putting them together, we're explaining 16.6 percent of the variants.

Now, for the next day, we know our prior for sunny is 0.78.

The sky has become clear.

The sky is likely to clear up.

It looks like it'll clear up.

The sky cleared up.

The sun is shining.

The last one is analogous.

We're fine.

There's a saying, once in a life time event, and that's just what this is.

Will it clear up soon? I'm afraid not.

It's already cleared up.

I think it will be fine.

It's a nice day.

The skies are clear.

The sky is clear.

It's a clear day.

It is sunny today.

Gonna be clear skies all day.

It'll clear in a second.

Blueskiesandsunshineguaranteed

Blueskiesandsunshine

Feel better now?

I hope it will be nice.

Suppose you look out of the window and see sequences of rainy days followed by sunny days followed by rainy days and you wonder what numbers to put here, here, here, and here.

I wonder if it will be nice.

I wonder if it will be sunny outside.

It's going to clear up.

I think it will be sunny.

The fog began to lift.

And my heart ached...

I remember one particularly fun day.

Oh, that's fantastic news.

He was cleared of those charges.

What, you might actually enjoy yourself.