activity
20182023
most citedFluctuations of the number of excursion sets of planar Gaussian fields

15 citations · 40 across the 6 of their papers we have counts for

collaborators

6 papers

math.PR2023

Conformal welding of independent Gaussian multiplicative chaos measures

Antti Kupiainen, Michael McAuley, Eero Saksman

We solve the classical conformal welding problem for a composition of two random homeomorphisms generated by independent Gaussian multiplicative chaos measures with small parameter…

math.PR2023★ 1 cited

A covariance formula for the number of excursion set components of Gaussian fields and applications

Dmitry Beliaev, Michael McAuley, Stephen Muirhead

We derive a covariance formula for the number of excursion or level set components of a smooth stationary Gaussian field on contained in compact domains. We also pre…

math.PR2022★ 5 cited

A central limit theorem for the number of excursion set components of Gaussian fields

Dmitry Beliaev, Michael McAuley, Stephen Muirhead

For a smooth stationary Gaussian field on and level , we consider the number of connected components of the excursion set (or l…

math.PR2019★ 15 cited

Fluctuations of the number of excursion sets of planar Gaussian fields

Dmitry Beliaev, Michael McAuley, Stephen Muirhead

For a smooth, stationary, planar Gaussian field, we consider the number of connected components of its excursion set (or level set) contained in a large square of area . The m…

math.PR2019★ 9 cited

Smoothness and monotonicity of the excursion set density of planar Gaussian fields

Dmitry Beliaev, Michael McAuley, Stephen Muirhead

Nazarov and Sodin have shown that the number of connected components of the nodal set of a planar Gaussian field in a ball of radius , normalised by area, converges to a constan…

math.PR2018★ 10 cited

On the number of excursion sets of planar Gaussian fields

Dmitry Beliaev, Michael McAuley, Stephen Muirhead

The Nazarov-Sodin constant describes the average number of nodal set components of Gaussian fields on large scales. We generalise this to a functional describing the corresponding…