Ratio of Gamma distributed variables
Having inferred the two rates, we can now evaluate
the distribution of
, which
is technically just a problem of `direct probabilities',
that is getting the pdf
from
and
(the Bayesian network that relates the variables
of interest is shown in Fig. ).
Figure:
Graphical model relating the physical
quantities (rates and measurement times) to the observed
numbers of events.
|
We just need to repeat what it has been
done in Sec. , taking the advantage
of having understood that
and
appearing in Eq. ()
are indeed Gamma distributions.
Therefore, we start evaluating the probability distribution of the ratio
of generic Gamma variables, denoted as and
(and their possible occurrences and ) in order
to avoid confusion with 's, associated so far to measured counts:
The pdf of is the given by
in which we have indicated by their ratio.
In detail, taking benefit of what we have
learned in Sec. ,
Writing
as
and
as , we get
Subsections