Monomial Wald statistic distribution conjecture

About 13 years old · traced to

Let Σ\Sigma be any positive semidefinite k×kk\times k matrix with positive diagonal entries. For nonnegative real exponents α1,…,αk\alpha_1,\ldots,\alpha_k that are not all zero, define the monomial

f(x1,…,xk)=x1α1x2α2⋯xkαk.f(x_1,\ldots,x_k)=x_1^{\alpha_1}x_2^{\alpha_2}\cdots x_k^{\alpha_k}.

Monomial distribution conjecture. The Wald variable satisfies

Wf,Σ∼1(α1+⋯+αk)2 χ12.W_{f,\Sigma}\sim\frac{1}{(\alpha_1+\cdots+\alpha_k)^2}\,\chi^2_1.

The conjecture asserts that this distribution is independent of the covariance matrix apart from the stated positive-diagonal condition. The paper explains that it is motivated by established results for bivariate monomials and discusses it as unresolved.

References

Primary source

Mathias Drton and Han Xiao, “Wald tests of singular hypotheses”, arXiv:1304.6746 (2016).

Progress summary

Never refreshed

Nothing recorded yet. Refresh searches the literature and the public web for attempts on this problem, and writes the first summary here.

Solutions 0

No solutions have been posted yet.