The Gaussian correlation inequality for disjoint Wishart principal minors

From papers

Let X\mathfrak{X} be the Wishart random matrix in the setting of the cited theorem, partitioned into diagonal blocks Xii\mathfrak{X}_{ii} of widths p1,,pdp_1,\ldots,p_d. Wishart principal-minor Gaussian correlation conjecture. For every k{2,,d}k\in\{2,\ldots,d\} and (t1,,td)(0,)d(t_1,\ldots,t_d)\in(0,\infty)^d,

P(i=1d{Xiiti})P(i=1k1{Xiiti})P(i=kd{Xiiti}).\mathsf{P}\left(\bigcap_{i=1}^d\{|\mathfrak{X}_{ii}|\leq t_i\}\right)\geq\mathsf{P}\left(\bigcap_{i=1}^{k-1}\{|\mathfrak{X}_{ii}|\leq t_i\}\right)\mathsf{P}\left(\bigcap_{i=k}^d\{|\mathfrak{X}_{ii}|\leq t_i\}\right).

The conjecture is motivated by Gaussian correlation inequalities for the associated multivariate Gamma distribution and would provide an alternative route to a lower bound for products of principal-minor functions. The supplied text gives no resolution status.

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Primary source

Christian Genest, Frédéric Ouimet and Donald Richards, “On the Gaussian product inequality conjecture for disjoint principal minors of Wishart random matrices”, arXiv:2311.00202 (2024).

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