Results 11 to 20 of about 156,585 (259)
Convergence rates of Gaussian ODE filters. [PDF]
Stat Comput, 2020 AbstractA recently introduced class of probabilistic (uncertainty-aware) solvers for ordinary differential equations (ODEs) applies Gaussian (Kalman) filtering to initial value problems. These methods model the true solutionxand its firstqderivativesa priorias a Gauss–Markov process$${\varvec{X}}$$X, which is then iteratively conditioned on information
Kersting H, Sullivan TJ, Hennig P.
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Convergence Rates for the Constrained Sampling via Langevin Monte Carlo [PDF]
Entropy, 2023 Sampling from constrained distributions has posed significant challenges in terms of algorithmic design and non-asymptotic analysis, which are frequently encountered in statistical and machine-learning models.
Yuanzheng Zhu
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Geometric convergence rates for cardinal spline subdivision with general integer arity
Journal of Numerical Analysis and Approximation Theory, 2019 A rigorous convergence analysis is presented for arbitrary order cardinal spline subdivision with general integer arity, for which the binary case, with arity two, is a well-studied subject.
Johan de Villiers +1 more
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AppliedMath, 2023 In this work, we studied convergence rates using quotient convergence factors and root convergence factors, as described by Ortega and Rheinboldt, for Hestenes’ Gram–Schmidt conjugate direction method without derivatives.
Ivie Stein, Md Nurul Raihen
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Axioms, 2023 As a new member of the NA (negative associated) family, the m-AANA (m-asymptotically almost negatively associated) sequence has many statistical properties that have not been developed. This paper mainly studies its properties in the gradual change point
Tianming Xu, Yuesong Wei
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The effects of fiscal policy shocks on the business environment
Journal of Business Economics and Management, 2021 Fiscal policy influences economic conditions through public spending and taxes, generating positive or negative impulses, both on short and long term. The present research focuses on analysing the effects of the discretionary changes in the fiscal policy
Gabriela Dobrotă +2 more
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On Convergence Rates of Some Limits
Mathematics, 2020 In 2019 Seneta has provided a characterization of slowly varying functions L in the Zygmund sense by using the condition, for each y > 0 , x L ( x + y ) L ( x ) − 1 → 0 as x → ∞ .
Edward Omey, Meitner Cadena
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Open Mathematics, 2022 In this article, we present a new robust estimation procedure based on the exponential squared loss function for varying coefficient partially functional linear regression models, where the slope function and nonparametric coefficients are approximated ...
Sun Jun, Liu Wanrong
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Convergence Aspects of Some Robust Estimators Based Upon Prefiltering of the Input-Output Data [PDF]
Modeling, Identification and Control, 1990 By prefiltering the input/output data and employing certain decentralized estimation techniques, it is possible to improve the robustness of some estimators significantly.
Rolf Henriksen, Erik Weyer
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Convergence Rates in Uniform Ergodicity by Hitting Times and $$L^2$$-Exponential Convergence Rates [PDF]
Journal of Theoretical Probability, 2022 Generally the convergence rate in exponential ergodicity $ $ is an upper bound for the convergence rate $ $ in uniform ergodicity for a Markov process, that is $ \geqslant $. In this paper, we prove that $ \geqslant \inf \{lambda,1/M_H\}$, where $M_H$ is a uniform bound on the moment of the hitting time to a "compact" set $H$.
Yong-Hua Mao, Tao Wang
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