Markov Chain Monte Carlo,  2
From the sampling produce  μ'(z; φ)
Same as  μ(z; φ)  except based on a random sample of shape space
For the purposes of today's discussion, the details are not important
For  φ Є Φ
–μ'(z; φ) = μ(z; φ)
Zhu et al. assume there exists a “true underlying distribution”