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ml-recall

#warm-up

1 question from Statistics & Estimation

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Question 1: Single choice

easyAI-checkedStatistics & Estimation

You run Metropolis–Hastings on p(x,y)=N(x;0,1) N(y;0,1)p(x, y) = \mathcal{N}(x; 0, 1)\,\mathcal{N}(y; 0, 1), starting at (x,y)=(7,7)(x, y) = (7, 7). A scatter plot shows a trail of early samples leading from (7,7)(7, 7) towards the origin. Why is it common to discard the first WW samples ("warm-up" or "burn-in")?

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