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ulation sim hastic c sto yb Inference idea: Basic S distribution sampling a from samples Nw Dra 1) Coin 0.5 y robabilit p r osterio p ximate ro app an Compute 2) ˆP Py robabilit p true the to converges this w Sho 3) Outline: rk ow net y empt an from Sampling – evidence with disagreeing samples reject sampling: Rejection – samples eight w to evidence use eighting: w do eliho Lik – cess ro p chastic sto a from sample (MCMC): rlo Ca Monte chain ov rk Ma – r osterio p true the is distribution ry stationa whose 13 14.4–5 Chapter