Results 11 to 20 of about 362,691 (237)
Asymptotic Estimates for Second Kind Generalized Stirling Numbers [PDF]
Asymptotic formulas for the generalized Stirling numbers of the second kind with integer and real parameters are obtained and ranges of validity of the formulas are established.
Cristina B. Corcino, Roberto B. Corcino
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Asymptotic and non-asymptotic estimates for multivariate Laplace integrals [PDF]
We derive bilateral asymptotic as well as non-asymptotic estimates for the multivariate Laplace integrals. Possible applications: Tauberian theorems for random vectors.
Maria Rosaria Formica +2 more
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Fast, Asymptotically Efficient, Recursive Estimation in a Riemannian Manifold
Stochastic optimisation in Riemannian manifolds, especially the Riemannian stochastic gradient method, has attracted much recent attention. The present work applies stochastic optimisation to the task of recursive estimation of a statistical parameter ...
Jialun Zhou, Salem Said
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On rational Abel – Poisson means on a segment and approximations of Markov functions
Approximations on the segment [−1, 1] of Markov functions by Abel – Poisson sums of a rational integral operator of Fourier type associated with the Chebyshev – Markov system of algebraic fractions in the case of a fixed number of geometrically different
Pavel G. Patseika, Yauheni A. Rouba
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The paper deals with the construction of minimizing sequences for the problem of minimizing a weakly nonlinearly perturbed quadratic performance index on trajectories of a weakly nonlinear system with threetempo state variables. For this purpose, the so-
G.A. Kurina, M.A. Kalashnikova
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Asymptotic unbiased density estimators [PDF]
Summary: This paper introduces a computationally tractable density estimator that has the same asymptotic variance as the classical Nadaraya-Watson density estimator but whose asymptotic bias is zero. We achieve this result using a two stage estimator that applies a multiplicative bias correction to an oversmooth pilot estimator.
Hengartner, Nicolas W. +1 more
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Maximum Likelihood Estimation for the Fractional Vasicek Model
This paper estimates the drift parameters in the fractional Vasicek model from a continuous record of observations via maximum likelihood (ML). The asymptotic theory for the ML estimates (MLE) is established in the stationary case, the explosive case ...
Katsuto Tanaka, Weilin Xiao, Jun Yu
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Asymptotics of Generalized S-Estimators [PDF]
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Hössjer, O. +2 more
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Asymptotic variances of subspace estimates [PDF]
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CHIUSO, ALESSANDRO, PICCI, GIORGIO
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The model of cellular circuits was considered in a single basis of functional and switching elements, which is built in accordance with the standard basis B0 consisting of Boolean functions x1 & x2, x1 ∨ x2, ˉx1. In this model, both inputs and outputs of
S.A. Lozhkin, V.S. Zizov
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