Could you inform me please, how can I calculate conditioned probability of several events?

for example:

P (A | B, C, D) – ?

I know, that:

P (A | B) = P (A ∩ B) / P (B)

But, unfortunately, I can’t find any formula if an event A depends on several variables. Thanks in advance.

**Answer**

Another approach would be:

```
P(A| B, C, D) = P(A, B, C, D)/P(B, C, D)
= P(B| A, C, D).P(A, C, D)/P(B, C, D)
= P(B| A, C, D).P(C| A, D).P(A, D)/{P(C| B, D).P(B, D)}
= P(B| A, C, D).P(C| A, D).P(D| A).P(A)/{P(C| B, D).P(D| B).P(B)}
```

Note the similarity to:

```
P(A| B) = P(A, B)/P(B)
= P(B| A).P(A)/P(B)
```

And there are many equivalent forms.

Taking U = (B, C, D) gives:

P(A| B, C, D) = P(A, U)/P(U)

```
P(A| B, C, D) = P(A, U)/P(U)
= P(U| A).P(A)/P(U)
= P(B, C, D| A).P(A)/P(B, C, D)
```

I’m sure they’re equivalent, but do you want the joint probability of B, C & D given A?

**Attribution***Source : Link , Question Author : Community , Answer Author : Thylacoleo*