Results 61 to 70 of about 1,315,232 (288)
Nihon Kikai Gakkai ronbunshu, 2021 In the previous study, one of the authors investigated stationary response characteristics of linear systems subjected to non-Gaussian random excitation.
Hideto FUKUSHIMA, Takahiro TSUCHIDA
doaj +1 more source
Distribution function of persistent current
, 2010 We introduce a variant of the replica trick within the nonlinear sigma model that allows calculating the distribution function of the persistent current. In the diffusive regime, a Gaussian distribution is derived.
A. M. Finkel’stein +6 more
core +1 more source
Estimation from quantized Gaussian measurements: when and how to use dither [PDF]
, 2019 Subtractive dither is a powerful method for removing the signal dependence of quantization noise for coarsely quantized signals. However, estimation from dithered measurements often naively applies the sample mean or midrange, even when the total noise ...
Dawson, Robin M. A. +2 more
core +2 more sources
Coordinate distribution of Gaussian primes
Journal of the European Mathematical Society, 2021 We study the problem of writing Gaussian primes as the sum of two squares, both of which are interesting arithmetically, in particular, when one is the square of a prime and the other the square of an almost-prime.
Friedlander, John, Iwaniec, Henryk
openaire +3 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B‐PwMS) experience a more severe disease course than non‐Hispanic White people with MS (NHW‐PwMS). Here we investigated structural and functional connectivity as well as structure–function decoupling in the ...
Emilio Cipriano +11 more
wiley +1 more source
A Novel Method of Bridge Deflection Prediction Using Probabilistic Deep Learning and Measured Data
SensorsThe deflection control of the main girder in suspension bridges, as flexible structures, is critically important during their operation. To predict the vertical deflection of existing suspension bridge girders under the combined effects of stochastic ...
Xinhui Xiao +7 more
doaj +1 more source
q-Gaussian based Smoothed Functional Algorithm for Stochastic Optimization
, 2012 The q-Gaussian distribution results from maximizing certain generalizations of Shannon entropy under some constraints. The importance of q-Gaussian distributions stems from the fact that they exhibit power-law behavior, and also generalize Gaussian ...
Bhatnagar, Shalabh +2 more
core +1 more source
Time series models with an EGB2 conditional distribution [PDF]
, 2013 A time series model in which the signal is buried in noise that is non-Gaussian may throw up observations that, when judged by the Gaussian yardstick, are outliers.
Caivano, Michele, Harvey, Andrew
core +4 more sources
Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source