... response of interest. FANOVA (Functional ANalysis Of VAriance) [12, 30, 9, 2] has become commonplace for decomposing a real-valued function f of d-variables into a sum of 2 d functions ...
... response of interest. FANOVA (Functional ANalysis Of VAriance) [12, 30, 9, 2] has become commonplace for decomposing a real-valued function f of d-variables into a sum of 2 d functions ...
... remarks and perspectives This article focuses on the control of pathwise invariances of square- integrable randomfield through their covariance ...on paths such as multivariate ...
... ε of F , of ε ´1 times the law of Brownian motion on the metric graph, started at y and stopped at its first hitting of F ...Brownian paths in the metric graph, that start on F ...
... space of some linear operator T , ...diversity of path properties including invariances under group actions or sparse ANOVAdecompositionsof multivariate paths can be ...
... projection of product kernelsand presents the calculation in the case of a squared exponential (or Gaussian) ...kernel. Of rather practical importance is the procedure to ...
... evaluation of upper functions has become an important technical tool in different areas of mathematical statistics in particular in the minimax and adaptive minimax ...constructions of adaptive ...
... scope of the present ...notion of packing dimension profiles has also been developed by Khoshnevisan, Schilling and Xiao (2010) for studying the packing dimension of the range of a ...
... fact of the Malliavin calculus is that finitely many Sobolev functions F 1 , ...a Gaussian µ have a joint density of distribution provided that their Malliavin gradients DH F1 , ...are of ...
... case of KL-type expansions, which are studied in §3, the functions ψ j that we obtain are simply the restrictions to D of trigonometric ...term of numerical simplicity compared to the L 2 ...
... By conformal invariance, we can define the level line of the GFF in any simply connected domain starting from a boundary point and targeted at another boundary point.. This pro[r] ...
... expression of C andof the prefactors in Pstat can not be obtained by the method used here (a recursive adiabatic averaging similar to the one used for white and Ornstein-Uhlenbeck noise would ...
... derivation of bounds on the Kolmogorov distance is by no means trivial and relies on a new anti-concentration inequality for maxima ofGaussianrandom vectors, which is another main ...
... study of the asymptotic representation theory of the symmetric ...Kerov and Vershik that these harmonic functions completely determine the asymptotic characters of the symmetric ...set ...
... sequence of successively closer continuous and piecewise linear approxima- tions to h, each of which has the law of a discrete Gaussian free ...distribution, and not as a ...
... realization of a homogeneous Gaus- sian ...a Gaussianfield by considering its F d distributions as ...distribution of the image must, by ap- proximation, be Gaussian ...
... Random sound field in reverberation chambers Balachandran, C. G. https://publications-cnrc.canada.ca/fra/droits L’accès à ce site Web et l’utilisation de son contenu sont assujettis aux conditions ...
... the ANOVA problem for directional data (with particular emphasis on geological data) by having recourse to the Le Cam methodology usually reserved for linear multivariate ...locally and asymptotically most ...
... Visual effect of fog • Color Fades • Airlight added • Contrast and visibility decrease with distance Visibility distance : 250m ⇒ Difficulties for object detection/recognition/identifica[r] ...
... separately), and must have low memory storage (because of constraints involved in GPU ...on random phase ...algorithm of [ Lefebvre & Hoppe 2005 ] which is parallel but not procedural, ...