Day 014.4 - = x x T e x p Continuous Random Variables...

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Continuous Random Variables 2/6/2012 13 1 D normal, or Gaussian, distribution mean standard deviation variance σ 2 = Σ µ
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Continuous Random Variables 2/6/2012 14 2 D normal, or Gaussian, distribution mean covariance matrix ( ) ) ( ) ( 2 1 1 2 det 1 ) ( µ π Σ
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Unformatted text preview: = x x T e x p Continuous Random Variables 2/6/2012 15 in 2 D isotropic = 1 1 Continuous Random Variables 2/6/2012 16 in 2 D anisotropic = 1 4...
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Day 014.4 - = x x T e x p Continuous Random Variables...

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