COMP 6321
Concordia University ( )
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Statistical Learning – Formula Sheet (final) | 100% Correct | Verified | 2024 Version
- Exam (elaborations) • 2 pages • 2024
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Statistical Learning – Formula Sheet (final) | 100% Correct | Verified | 2024 Version
Auxiliary: ΣX,Y := E
h
(X − E [X]) (Y − E [Y ])>
i
, fX1,...,Xp
(x) = exp
−
1
2
(x − µ)
>Σ
−1
(x − µ)
p
(2π)
p|Σ|
,
P(Y = k) = e
−λλ
k
k!
Intro: E
h
(y0− ˆf(x0))2
i
= Var( ˆf(x0)) + Bias( ˆf(x0))2 + Var(),
OLS: βˆ = (X>X)
−1X>y
Model selection: AIC = 2p − 2 log(L), AICc = AIC + 2p(p + 1)
n − p − 1
, BIC = log(n)p − 2 log(L)...
Exam (elaborations)
Statistical Learning – Formula Sheet (final) | 100% Correct | Verified | 2024 Version
Last document update:
ago
Statistical Learning – Formula Sheet (final) | 100% Correct | Verified | 2024 Version Auxiliary: ΣX,Y := E h (X − E [X]) (Y − E [Y ])> i , fX1,...,Xp (x) = exp − 1 2 (x − µ) >Σ −1 (x − µ) p (2π) p|Σ| , P(Y = k) = e −λλ k k! Intro: E h (y0− ˆf(x0))2 i = Var( ˆf(x0)) + Bias( ˆf(x0))2 + Var(), OLS: βˆ = (X>X) −1X>y Model selection: AIC = 2p − 2 log(L), AICc = AIC + 2p(p + 1) n − p − 1 , BIC = log(n)p − 2 log(L)...
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