A canonical form for Gaussian periodic processes
This article provides a representation theorem for a set of Gaussian processes; this theorem allows to build Gaussian processes with arbitrary regularity and to write them as limit of random trigonometric series.
Aletti, Giacomo, Ruffini, Matteo
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Kaniadakis Functions beyond Statistical Mechanics: Weakest-Link Scaling, Power-Law Tails, and Modified Lognormal Distribution. [PDF]
Hristopulos DT, Baxevani A.
europepmc +1 more source
Maximum expected entropy transformed Latin hypercube designs. [PDF]
Sheng C, Tan MHY, Zou L.
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On critical points of Gaussian random fields under diffeomorphic transformations. [PDF]
Cheng D, Schwartzman A.
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Zeros of Gaussian Weyl-Heisenberg Functions and Hyperuniformity of Charge. [PDF]
Haimi A, Koliander G, Romero JL.
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Spatial Modeling of Precipitation Based on Data-Driven Warping of Gaussian Processes. [PDF]
Agou VD, Pavlides A, Hristopulos DT.
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The hyperbolic Anderson model: moment estimates of the Malliavin derivatives and applications. [PDF]
Balan RM +3 more
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Correcting an estimator of a multivariate monotone function with isotonic regression. [PDF]
Westling T, van der Laan MJ, Carone M.
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Precise small deviations in L 2 of some Gaussian processes appearing in the regression context
Kirichenko Alisa, Nikitin Ya.
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Characterization of equilibrium measures for critical reversible Nearest Particle Systems
Mountford Thomas, Wu Li
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