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PyMC is a Python library for performing Bayesian inference using MCMC. It is a Python equivalent to JAGS and BUGS.
8
votes
1
answer
612
views
Estimating Failure Rate from Observed Data
I try and use PyMC to solve it:
import numpy as np
import pymc as pm
data = np.zeros(1000) # observed data: zero failures out of 1000 devices
p = pm.Uniform('p', 0, 1) # model the failure rate as a … Is my usage of PyMC correct?
Can someone confirm my answer with another method? Maybe analytically by using a Poisson distribution?
P.S. …
5
votes
1
answer
357
views
MCMC Modelling - can this even be solved?
I am very new to Bayesian modelling and MCMC - I would like to know if the problem I describe below can be solved. It seems to be there is too much missing information but I wanted to get your though …