Exponential Bounds for the Distribution of the Maximum of a Non-Gaussian Random Field

1991 ◽  
Vol 35 (3) ◽  
pp. 487-499 ◽  
Author(s):  
E. I. Ostrovskii
1996 ◽  
Vol 05 (04) ◽  
pp. 319-362 ◽  
Author(s):  
D.I. NOVIKOV ◽  
H.E. JØRGENSEN

In this paper we develop the theory of clusterization of peaks in a Gaussian random field. We have obtained new mathematical results from this theory and the theory of percolation and have proposed a topological method of analysis of sky maps based on these results. We have simulated 10°×10° sky maps of the cosmic microwave background anisotropy expected from different cosmological models with 0.5°–1° resolution in order to demonstrate how this method can be used for detection of non-Gaussian noise in the maps and detection of the Doppler-peak in the spectrum of perturbation of ΔT/T.


2013 ◽  
Vol 87 (2) ◽  
Author(s):  
T. H. Beuman ◽  
A. M. Turner ◽  
V. Vitelli

2019 ◽  
Vol 23 (4) ◽  
pp. 889-912 ◽  
Author(s):  
J. Dhanya ◽  
S. T. G. Raghukanth

2013 ◽  
Vol 88 (1) ◽  
Author(s):  
T. H. Beuman ◽  
A. M. Turner ◽  
V. Vitelli

Author(s):  
A. YU. KHRENNIKOV ◽  
S. V. KOZYREV

Gaussian random field on general ultrametric space is introduced as a solution of pseudodifferential stochastic equation. Covariation of the introduced random field is computed with the help of wavelet analysis on ultrametric spaces. Notion of ultrametric Markovianity, which describes independence of contributions to random field from different ultrametric balls is introduced. We show that the random field under investigation satisfies this property.


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