Markov
Chain Monte Carlo
Too
hard to compute λ's
and p
analytically
Idea: Sample
Ω
according to the distribution
p, stochastically update
Λ
to update p, and repeat until p
reproduces all μ(z;
φ) for φ Є Φ
Monte Carlo because of random walk
Markov Chain in the nature of the loop