I am reading the Hidden Markov Model note http://cs229.stanford.edu/section/cs229-hmm.pdf from Stanford and have problem finding the meaning of the notation described below.
What does the semicolon (;) means in below (Page 2 in above link)?
$$P( z_t, z_{t-1},\ldots, z_1; A )$$
$A$ is the transition matrix. How should it be read? For example, I know $P( x | y )$ is "probability of $x$ GIVEN $y$"; $P( x=s_1 | y=o_1 )$ is "probability of $x$ being $s_1$ GIVEN that $y$ is $o_1$".
Thanks in advance for any help for this possibly trivial, but surprisingly hard to find answer.
Further question on same notation issue.
In Wikipedia article on EM algorithm, They have
$$L( \theta;X ) = p( X,Z | \theta )$$
In the above, X is the set of observed data, Z is the set of observed data and $\theta$ is a vector of parameters. Based on my current understanding of the notation, I will read the above as "the likelihood of theta given X is equal to the joint probability of X and Z given theta". In this context, X contains observed data, which to me appears to be random variables rather than fixed parameters. Why is semicolon ';' used here?
Update
I have just noticed a few other threads asking the same question, when these threads shown up as related threads on right pane. My apology that I couldn't find them earlier. The following two threads have elaborated answers, in agreement with the accepted answer of this thread.