QA4 - Multivariate Random Variables Flashcards

1
Q

Compute the marginal and conditional distributions of a discrete bivariate random variable

A

Marginal is sum across the row / column
Conditional is divide prob of realisation / prob of overall realisation

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2
Q

Define covariance and explain what it measures

A

Is a measure of dispersion and describes how variables move together

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3
Q

Explain the relationship between covariance and correlation of two random variables and how these are related to the independence of the two variables

A

Two variables must have zero correlation but not necessarily independent if zero correlation

Covariance of two independent variables is also zero

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4
Q

Explain the effects of a linear transformation on the covariance and correlation between two random variables

A

Covariance scales by multipliers

Correlation changes by ab / (mod(a) * mod(b)) where a and b are multipliers

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5
Q

Compute the variance of a weighted sum of two random variables

A

a^2 * Var(X1) + b^2 * Var(X) + 2ab * Cov(X1, X2)

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