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Carlo Beenakker
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Take a Cauchy distribution for $Y$: define $Y=Z/X$ with $Z$ a zero-mean Gaussian independent of $X$; then $\eta=YX=Z$ has the desired property; theproperty of having a Gaussian distribution and being uncorrelated with $X$.

The answer becomes more complicated if $X$ has nonzero mean, as explained here.

Take a Cauchy distribution for $Y$: define $Y=Z/X$ with $Z$ a zero-mean Gaussian independent of $X$; then $\eta=YX=Z$ has the desired property; the answer becomes more complicated if $X$ has nonzero mean, as explained here.

Take a Cauchy distribution for $Y$: define $Y=Z/X$ with $Z$ a zero-mean Gaussian independent of $X$; then $\eta=YX=Z$ has the desired property of having a Gaussian distribution and being uncorrelated with $X$.

The answer becomes more complicated if $X$ has nonzero mean, as explained here.

Source Link
Carlo Beenakker
  • 188.1k
  • 18
  • 448
  • 651

Take a Cauchy distribution for $Y$: define $Y=Z/X$ with $Z$ a zero-mean Gaussian independent of $X$; then $\eta=YX=Z$ has the desired property; the answer becomes more complicated if $X$ has nonzero mean, as explained here.