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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. …
mchangun's user avatar
  • 509
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 …
mchangun's user avatar
  • 509