Results 1 to 10 of about 72,390 (316)
Mathematics, 2021 In this study, new asymptotic properties of positive solutions of the even-order delay differential equation with the noncanonical operator are established.
Osama Moaaz, Clemente Cesarano
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On the Asymptotic Properties of SLOPE [PDF]
Sankhya A, 2020 AbstractSorted L-One Penalized Estimator (SLOPE) is a relatively new convex optimization procedure for selecting predictors in high dimensional regression analyses. SLOPE extends LASSO by replacing theL1penalty norm with a SortedL1norm, based on the non-increasing sequence of tuning parameters. This allows SLOPE to adapt to unknown sparsity and achieve
Michał Kos, Małgorzata Bogdan
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Existence and Asymptotic of Solutions for a $p$-Laplace Schrödinger Equation with Critical Frequency [PDF]
Sahand Communications in Mathematical Analysis, 2023 We study the Schr\"odinger equation $\left(\mathrm{Q}_{\varepsilon}\right)$: $- \varepsilon^{2(p-1)} \Delta_p v + V(x)\, |v|^{p-2} v - |v|^{q-1}v = 0$, $x \in \mathbb{R}^N$, with $v(x) \rightarrow 0$ as $|x| \rightarrow+\infty$, for the infinite case ...
Juan Mayorga-Zambrano +3 more
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Spline estimator and its asymptotic properties in multiresponse nonparametric regression model [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2020 In applications, we often meet the problem where more than one response variable is observed at several values of predictor variables, and these responses are correlated with each other.
Budi Lestari +2 more
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Local linear modelling of the conditional distribution function for functional ergodic data
Mathematical Modelling and Analysis, 2022 The focus of functional data analysis has been mostly on independent functional observations. It is therefore hoped that the present contribution will provide an informative account of a useful approach that merges the ideas of the ergodic theory and ...
Somia Ayad +3 more
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Semi-Parametric Estimation Using Bernstein Polynomial and a Finite Gaussian Mixture Model
Entropy, 2022 The central focus of this paper is upon the alleviation of the boundary problem when the probability density function has a bounded support. Mixtures of beta densities have led to different methods of density estimation for data assumed to have compact ...
Salima Helali +2 more
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Laplacian Split-BREAK Process with Application in Dynamic Analysis of the World Oil and Gas Market
Axioms, 2023 This manuscript deals with a novel, nonlinear, and non-stationary stochastic model with symmetric, Laplacian distributed innovations. The obtained model, named Laplacian Split-BREAK (LSB) process, is intended for dynamic analysis of time series with ...
Vladica S. Stojanović +3 more
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Axioms, 2023 This manuscript deals with a parameter estimation of a non-negative integer-valued (NNIV) time series based on the so-called probability generating function (PGF) method.
Vladica Stojanović +2 more
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Asymptotics of Subsampling for Generalized Linear Regression Models under Unbounded Design
Entropy, 2022 The optimal subsampling is an statistical methodology for generalized linear models (GLMs) to make inference quickly about parameter estimation in massive data regression. Existing literature only considers bounded covariates.
Guangqiang Teng +3 more
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Asymptotic properties of the robust ANMF [PDF]
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015 This paper presents two approaches to derive an asymptotic distribution of the robust Adaptive Normalized Matched Filter (ANMF). More precisely, the ANMF has originally been derived under the assumption of Gaussian distributed noise where the variance is different between the observation under test and the set of secondary data. We propose in this work
Frédéric Pascal 0001 +1 more
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