Monomial Wald statistic distribution conjecture

From papers

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)=x1α1x2α2xkαk.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,Σ1(α1++αk)2χ12.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.

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Sources & referencesView supporting material

Primary source

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

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