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On rates of convergence for posterior distributions in infinite-dimensional models [PDF]
, 2007 This paper introduces a new approach to the study of rates of convergence for posterior distributions. It is a natural extension of a recent approach to the study of Bayesian consistency.
WALKER S. G +5 more
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A unified approach for regularizing discretized linear ill‐posed problems
Mathematical Modelling and Analysis, 2009 In this paper we deal with regularization approaches for discretized linear ill‐posed problems in Hilbert spaces. As opposite to other contributions concerning this topic the smoothness of the unknown solution is measured with so‐called approximative ...
Torsten Hein
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Mathematics, 2020 In this paper, Landweber iteration with a relaxation factor is proposed to solve nonlinear ill-posed integral equations. A compression multiscale Galerkin method that retains the properties of the Landweber iteration is used to discretize the Landweber ...
Rong Zhang, Fanchun Li, Xingjun Luo
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On the convergence rates of pairs of adjacent sequences
Journal of Numerical Analysis and Approximation Theory, 2020 In this paper we give a suitable definition for the pairs of adjacent (convergent) sequences of real numbers, we present some two-sided estimations which caracterize the order of convergence to its limits of some of these sequences and we give certain ...
Dorel I. Duca, Andrei Vernescu
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Ensemble Estimation of Information Divergence †
Entropy, 2018 Recent work has focused on the problem of nonparametric estimation of information divergence functionals between two continuous random variables. Many existing approaches require either restrictive assumptions about the density support set or difficult ...
Kevin R. Moon +3 more
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GROWTH RATES, QUALITY OF ECONOMIC GROWTH AND CONVERGENCE OF GROWTH RATES [PDF]
Annals of the University of Petrosani: Economics, 2021 The aim of this analysis is to examine methodological possibilities for defining the interdependence of the key categories of production theory. The ultimate goal of this paper is to define relationships pointing to the interdependence of growth rates ...
NADA TRIVIĆ, BOJANA TODIĆ
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Smooth Function Approximation by Deep Neural Networks with General Activation Functions
Entropy, 2019 There has been a growing interest in expressivity of deep neural networks. However, most of the existing work about this topic focuses only on the specific activation function such as ReLU or sigmoid.
Ilsang Ohn, Yongdai Kim
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Convergence of Password Guessing to Optimal Success Rates
Entropy, 2020 Password guessing is one of the most common methods an attacker will use forcompromising end users. We often hear that passwords belonging to website users have beenleaked and revealed to the public.
Hazel Murray, David Malone
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Complexity L0-Penalized M-Estimation: Consistency in More Dimensions
Axioms, 2013 We study the asymptotics in L2 for complexity penalized least squares regression for the discrete approximation of finite-dimensional signals on continuous domains—e.g., images—by piecewise smooth functions.
Gerhard Winkler +3 more
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European and global financial integration: some panel evidence of the convergence of interest rates [PDF]
Banks and Bank Systems, 2016 This paper seeks to contribute to the literature on financial integration using panel estimates to test beta- and sigma-convergence across the European Union countries’ interest rates and towards two specific benchmarks — the German and US rates ...
Cândida Ferreira
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