Results 1 to 10 of about 23,629 (116)
Identification of Nonlinear State-Space Systems via Sparse Bayesian and Stein Approximation Approach
This paper is concerned with the parameter estimation of non-linear discrete-time systems from noisy state measurements in the state-space form. A novel sparse Bayesian convex optimisation algorithm is proposed for the parameter estimation and prediction.
Limin Zhang +3 more
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Reverse Stein–Weiss Inequalities on the Upper Half Space and the Existence of Their Extremals
The purpose of this paper is four-fold. First, we employ the reverse weighted Hardy inequality in the form of high dimensions to establish the following reverse Stein–Weiss inequality on the upper half space:
Chen Lu, Lu Guozhen, Tao Chunxia
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Comparison of Risk Ratios of Shrinkage Estimators in High Dimensions
In this paper, we analyze the risk ratios of several shrinkage estimators using a balanced loss function. The James–Stein estimator is one of a group of shrinkage estimators that has been proposed in the existing literature.
Abdenour Hamdaoui +3 more
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Levi Problem: Complement of a closed subspace in a Stein space and its applications
Let $Y$ be an open subset of a Stein space $X$. We show that if $Y$ is locally Stein and the complement $X-Y$ is a closed subspace of $X$, then $Y$ is Stein.
Zhang, Jing
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One of the most common challenges in multivariate statistical analysis is estimating the mean parameters. A well-known approach of estimating the mean parameters is the maximum likelihood estimator (MLE).
Benkhaled Abdelkader +4 more
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This paper critiques the trilemma framing of the political economy of globalization, and offers an alternative framing based on the construction of national policy space. The paper makes three main contributions.
THOMAS PALLEY
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UAV Anti-tank Policy Training Model Based on Curriculum Reinforcement Learning [PDF]
In the intelligent era,the battle for land battlefield expands from planar land control to vertical land control.UAV anti-tank operation plays a crucial role in the battle for land control in future intelligent war.Deep reinforcement learning method in ...
LIN Zeyang, LAI Jun, CHEN Xiliang, WANG Jun
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Asymptotic Profile for Diffusion Wave Terms of the Compressible Navier–Stokes–Korteweg System
The asymptotic profile for diffusion wave terms of solutions to the compressible Navier–Stokes–Korteweg system is studied on R2. The diffusion wave with time-decay estimate was studied by Hoff and Zumbrun (1995, 1997), Kobayashi and Shibata (2002), and ...
Takayuki Kobayashi +2 more
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Improving cloud type classification of ground-based images using region covariance descriptors [PDF]
The distribution and frequency of occurrence of different cloud types affect the energy balance of the Earth. Automatic cloud type classification of images continuously observed by the ground-based imagers could help climate researchers find the ...
Y. Tang +7 more
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Through conformal map, isoperimetric inequalities are equivalent to the Hardy–Littlewood–Sobolev (HLS) inequalities involved with the Poisson-type kernel on the upper half space.
Tao Chunxia
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