6) Multivariate Normal Distribution Flashcards

1
Q

What is the mean vector and covariance matrix

A
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2
Q

What are the properties of expectation and covariance for a random vector

A
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3
Q

How does the covariance formula for a transformed random vector generalise the variance formula for random variables

A
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4
Q

When is a matrix symmetric and a positive semidefinite

A
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5
Q

What are the properties of the covariance matrices

A
  • symmetric
  • Positive semidefinite
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6
Q

What is a factor of Σ

A
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7
Q

What is a a standard multivariate normal distribution

A
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8
Q

What is a multivariate normal distribution

A
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9
Q

What are the expectation and covariance of a multivariate normal random vector

A
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10
Q

What is the mgf of a random vector

A
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11
Q

What is the mgf of a multivariate normal random vector

A
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12
Q

How is the distribution of a random vector defined if it is a linear combination

A
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13
Q

When are the components of a multivariate normal random vectorindependent

A
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14
Q
A
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15
Q

What is the p.d.f. of a multivariate normal random vector Z∼N(0,I)

A
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