Understanding effect of small data size on posterior distribution

For some reason, when I run

f_logp([1.73, 2.0, 1.66])

I get

array([ 1.18502908, -9.44531625, -5.41739242])

which doesn’t make sense, since 1.18 exponentiated is above 1.

Densities can be larger than 1

1 Like