The intersection property for binomial and Poisson distributions

Let MM be a binomially distributed or Poisson-distributed random variable, let P0P_0 be its distribution, and let G(M)G(M) be its GG-transform, defined by assigning the signed square root of twice the divergence from P0P_0 according as the value is below or above the mean. Let ZZ be a standard Gaussian. The intersection property. The quantile transform between G(M)G(M) and ZZ is a step function, and the identity function intersects each step, namely

P(M<m)<P(ZG(m))<P(Mm)P(M<m)<P\left(Z\leq G(m)\right)<P(M\leq m)

for every integer mm. This conjecture asserts a precise interlacing between the discrete distribution and the Gaussian distribution after the GG-transform; the source presents it as supported by quantile plots, and no resolution is supplied.

Sources & referencesView supporting material

Primary source

Peter Harremoës and Gábor Tusnády, “Information Divergence is more chi squared distributed than the chi squared statistics”, arXiv:1202.1125 (2012).

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