scholarly journals Ergodicity and Gaussianity for spherical random fields

2010 ◽  
Vol 51 (4) ◽  
pp. 043301 ◽  
Author(s):  
Domenico Marinucci ◽  
Giovanni Peccati
2016 ◽  
Vol 116 ◽  
pp. 146-156 ◽  
Author(s):  
Mirko D’Ovidio ◽  
Nikolai Leonenko ◽  
Enzo Orsingher

2002 ◽  
Vol 7 (1) ◽  
pp. 31-42
Author(s):  
J. Šaltytė ◽  
K. Dučinskas

The Bayesian classification rule used for the classification of the observations of the (second-order) stationary Gaussian random fields with different means and common factorised covariance matrices is investigated. The influence of the observed data augmentation to the Bayesian risk is examined for three different nonlinear widely applicable spatial correlation models. The explicit expression of the Bayesian risk for the classification of augmented data is derived. Numerical comparison of these models by the variability of Bayesian risk in case of the first-order neighbourhood scheme is performed.


2017 ◽  
Vol 2017 (7) ◽  
pp. 113-120 ◽  
Author(s):  
Sujoy Chakraborty ◽  
Matthias Kirchner

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