(11) | |||
(12) |
We can already combine the information from the two constraints,
just remembering
a condition stated in the second paragraph of
section 2:
In the ideal case we would consider the points of the circle equally likely
if there were no other experimental or theoretical
a priori information
which would lead to assign different weights to the
different points. But this is exactly
what each partial inference does. Therefore, in order to combine the two
constraints we just need to multiply the
weights of each point and normalize the distribution:
(13) |