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