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Bjørn Kjos-Hanssen
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Let ${\bf x}\in\mathbb R^N$ be a positive multivariate random variable, i.e.

$$x_i\in [0,\infty).$$

What is the range after whitening, i.e. the range of ${\bf y} = \sqrt{C}^{-1}{\bf x}$ with the covariance matrix $C = E[({\bf x}-\mu)({\bf x}-\mu)^\top]$?

In 1D the problem is easy, of course, since the covariance matrix is simply the variance of the random variable, hence the whitened variable is still nonnegative. It gets much more tricky in 2D and I don't get a good grip on it. Any ideas? Thanks!

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Let ${\bf x}\in\mathbb R^N$ be a positive multivariate random variable, i.e.

$$x_i\in [0,\infty).$$

What is the range after whitening, i.e. the range of ${\bf y} = \sqrt{C}^{-1}{\bf x}$ with the covariance matrix $C = E[({\bf x}-\mu)({\bf x}-\mu)^\top]$?

In 1D the problem is easy, of course, since the covariance matrix is simply the variance of the random variable, hence the whitened variable is still nonnegative. It gets much more tricky in 2D and I don't get a good grip on it. Any ideas? Thanks!

Let ${\bf x}\in\mathbb R^N$ be a positive multivariate random variable, i.e.

$$x_i\in [0,\infty).$$

What is the range after whitening, i.e. the range of ${\bf y} = \sqrt{C}^{-1}{\bf x}$ with the covariance matrix $C = E[({\bf x}-\mu)({\bf x}-\mu)^\top]$?

In 1D the problem is easy, of course, since the covariance matrix is simply the variance of the random variable, hence the whitened variable is still nonnegative. It gets much more tricky in 2D and I don't get a good grip on it. Any ideas? Thanks!

added 16 characters in body; edited title
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Steffen
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What is the domainrange of a positive random variable after whitening?

  • List item

Let ${\bf x}\in\mathbb R^N$ be a positive multivariate random variable, i.e.

$$x_i\in [0,\infty).$$

What is the range after whitening, i.e. the range of ${\bf y} = \sqrt{C}^{-1}{\bf x}$ with the covariance matrix $C = E[({\bf x}-\mu)({\bf x}-\mu)^\top]$?

In 1D the problem is easy, of course, since the covariance matrix is simply the variance of the random variable, hence the whitened variable is still nonnegative. It gets much more tricky in 2D and I don't get a good grip on it. Any ideas? Thanks!

What is the domain of a positive random variable after whitening?

Let ${\bf x}\in\mathbb R^N$ be a positive multivariate random variable, i.e.

$$x_i\in [0,\infty).$$

What is the range after whitening, i.e. the range of ${\bf y} = \sqrt{C}^{-1}{\bf x}$ with the covariance matrix $C = E[({\bf x}-\mu)({\bf x}-\mu)^\top]$?

In 1D the problem is easy, of course, since the covariance matrix is simply the variance of the random variable, hence the whitened variable is still nonnegative. It gets much more tricky in 2D and I don't get a good grip on it. Any ideas? Thanks!

What is the range of a positive random variable after whitening?

  • List item

Let ${\bf x}\in\mathbb R^N$ be a positive multivariate random variable, i.e.

$$x_i\in [0,\infty).$$

What is the range after whitening, i.e. the range of ${\bf y} = \sqrt{C}^{-1}{\bf x}$ with the covariance matrix $C = E[({\bf x}-\mu)({\bf x}-\mu)^\top]$?

In 1D the problem is easy, of course, since the covariance matrix is simply the variance of the random variable, hence the whitened variable is still nonnegative. It gets much more tricky in 2D and I don't get a good grip on it. Any ideas? Thanks!

changed "domain" to "range"
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Steffen
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Let ${\bf x}\in\mathbb R^N$ be a positive multivariate random variable, i.e.

$$x_i\in [0,\infty).$$

What is the domainrange after whitening, i.e. the domainrange of ${\bf y} = \sqrt{C}^{-1}{\bf x}$ with the covariance matrix $C = E[({\bf x}-\mu)({\bf x}-\mu)^\top]$?

In 1D the problem is easy, of course, since the covariance matrix is simply the variance of the random variable, hence the whitened variable is still nonnegative. It gets much more tricky in 2D and I don't get a good grip on it. Any ideas? Thanks!

Let ${\bf x}\in\mathbb R^N$ be a positive multivariate random variable, i.e.

$$x_i\in [0,\infty).$$

What is the domain after whitening, i.e. the domain of ${\bf y} = \sqrt{C}^{-1}{\bf x}$ with the covariance matrix $C = E[({\bf x}-\mu)({\bf x}-\mu)^\top]$?

In 1D the problem is easy, of course, since the covariance matrix is simply the variance of the random variable, hence the whitened variable is still nonnegative. It gets much more tricky in 2D and I don't get a good grip on it. Any ideas? Thanks!

Let ${\bf x}\in\mathbb R^N$ be a positive multivariate random variable, i.e.

$$x_i\in [0,\infty).$$

What is the range after whitening, i.e. the range of ${\bf y} = \sqrt{C}^{-1}{\bf x}$ with the covariance matrix $C = E[({\bf x}-\mu)({\bf x}-\mu)^\top]$?

In 1D the problem is easy, of course, since the covariance matrix is simply the variance of the random variable, hence the whitened variable is still nonnegative. It gets much more tricky in 2D and I don't get a good grip on it. Any ideas? Thanks!

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Steffen
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