New study reveals positive dependence in multivariate normal distribution variables.
The article discusses how certain conditions can ensure that chi-squared random variables from a multivariate normal distribution are always positively dependent and nonnegatively correlated. This has implications for creating conservative simultaneous confidence regions in a multivariate regression setting.