def prior_triangle(x, triangle_params):
""" Triangle prior distribution
Parameters
----------
x: float
Parameter value whos likelihood we want to test.
triangle_params: tuple
Tuple containg lower bound, upper bound and mode of the triangle distribution.
Returns
-------
Log likelihood of sample x in light of a triangle prior distribution.
"""
low, high, mode = triangle_params
return triang.logpdf(x, loc=low, scale=high, c=mode)
def tri_logdensity(x, min, max, mode):
loc = float(min)
scale = float(max) - float(min)
c = (float(mode) - float(min)) / float(scale)
log_density = triang.logpdf(x=x, c=c, loc=loc, scale=scale)
return log_density
def tri_logdensity(x, min, max, mode):
loc = float(min)
scale = float(max) - float(min)
c = (float(mode) - float(min))/float(scale)
log_density = triang.logpdf(x = x, c = c, loc = loc, scale = scale)
return log_density