Results 31 to 40 of about 10,620,708 (372)
, 2020 In this paper, we study the mean-square exponential input-to-state stability (exp-ISS) problem for a new class of neural network (NN) models, i.e., continuous-time stochastic memristive quaternion-valued neural networks (SMQVNNs) with time delays ...
Usa Humphries +6 more
semanticscholar +1 more source
On some mean square estimates in the Rankin-Selberg problem [PDF]
, 2006 An overview of the classical Rankin-Selberg problem involving the asymptotic formula for sums of coefficients of holomorphic cusp forms is given. We also study the function $\Delta(x;\xi) (0\le\xi\le1)$, the error term in the Rankin-Selberg problem ...
Ivic, Aleksandar
core +4 more sources
Wireless MIMO Switching: Weighted Sum Mean Square Error and Sum Rate Optimization [PDF]
, 2012 This paper addresses joint transceiver and relay design for a wireless multiple-input-multiple-output (MIMO) switching scheme that enables data exchange among multiple users.
Guo, Dongning +3 more
core +1 more source
Stochastic Behavior Analysis of the Gaussian Kernel Least-Mean-Square Algorithm [PDF]
, 2012 The kernel least-mean-square (KLMS) algorithm is a popular algorithm in nonlinear adaptive filtering due to its simplicity and robustness. In kernel adaptive filters, the statistics of the input to the linear filter depends on the parameters of the ...
Bermudez, José Carlos Moreira +3 more
core +5 more sources
Waste(1) The enactment of Sub-Decree No. 113/2015 on Solid Waste Management marked a significant policy shift towards the decentralisation of waste management in Cambodia and some progress has been observed in Phnom Penh and some other large cities and ...
Kohei Hibino +8 more
doaj +1 more source
Mean square convergence rates for maximum quasi-likelihood estimator
Stochastic Systems, 2015 In this note we study the behavior of maximum quasilikelihood estimators (MQLEs) for a class of statistical models, in which only knowledge about the first two moments of the response variable is assumed.
Arnoud V. den Boer, Bert Zwart
doaj +1 more source
Minimum mean square distance estimation of a subspace [PDF]
, 2011 We consider the problem of subspace estimation in a Bayesian setting. Since we are operating in the Grassmann manifold, the usual approach which consists of minimizing the mean square error (MSE) between the true subspace $U$ and its estimate $\hat{U ...
Besson, Olivier +2 more
core +3 more sources
Generalized Mean Square Exponential Stability for Stochastic Functional Differential Equations
MathematicsThis work focuses on a class of stochastic functional differential equations and neutral stochastic differential functional equations. By using a new approach, some sufficient conditions are obtained to guarantee the generalized mean square exponential ...
Tianyu He, Zhi Li, Tianquan Feng
doaj +1 more source
Optimum thresholding using mean and conditional mean square error
, 2017 We consider a univariate semimartingale model for (the logarithm of) an asset price, containing jumps having possibly infinite activity (IA). The nonparametric threshold estimator of the integrated variance IV proposed in Mancini 2009 is constructed ...
Figueroa-López, José E. +1 more
core +1 more source
Bias-Corrected Root Mean Square Deviation Estimators
FoundationsThe root mean square deviation (RMSD) is a widely used item fit statistic in item response models. However, the sample RMSD is known to exhibit positive bias in small samples. To address this, seven alternative bias-corrected RMSD estimators are proposed
Alexander Robitzsch
doaj +1 more source