Results 31 to 40 of about 49,053 (278)
Liquidity traps and expectation dynamics : fiscal stimulus or fiscal austerity? [PDF]
Financial support from National Science Foundation Grant no. SES-1025011 is gratefully acknowledged.We examine global dynamics under infinite-horizon learning in New Keynesian models where the interest-rate rule is subject to the zero lower bound.
Honkapohja, Seppo +2 more
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The convergence rate for the laws of logarithms under sub-linear expectations
<abstract><p>Let $ \{X_n; n\geq1\} $ be a sequence of independent and identically distributed random variables in a sub-linear expectation space $ (\Omega, \mathcal{H}, \hat{\mathbb{E}}) $. The necessary and sufficient conditions for the convergence rate on the laws of the logarithms and the law of the iterated logarithm are obtained.</p&
openaire +2 more sources
An AMP-Based Low Complexity Generalized Sparse Bayesian Learning Algorithm
In this paper, an approximate message passing-based generalized sparse Bayesian learning (AMP-Gr-SBL) algorithm is proposed to reduce the computation complexity of the Gr-SBL algorithm, meanwhile improving the robustness of the GAMP algorithm against the
Jiang Zhu, Lin Han, Xiangming Meng
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Cross Assessment of Twenty-One Different Methods for Missing Precipitation Data Estimation
The results of metrological, hydrological, and environmental data analyses are mainly dependent on the reliable estimation of missing data. In this study, 21 classical methods were evaluated to determine the best method for infilling the missing ...
Asaad M. Armanuos +2 more
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In this work, we demonstrate the usability of a fully-2D-material based device consisting of MoS2/WSe2 heterojunction encapsulated by hBN and contacted by graphene as temperature sensor for linear temperature measurement at cryogenic temperatures.
Christian D. Matthus +6 more
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<abstract><p>The aim of this paper is to study and establish precise asymptotics for complete integral convergence in the law of the logarithm under the sub-linear expectation space. The methods and tools in this paper are different from those used to study precise asymptotics theorems in probability space. We extend precise asymptotics for
Lizhen Huang, Qunying Wu
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On the law of the iterated logarithm under the sub-linear expectations
In this paper, we establish some general forms of the law of the iterated logarithm for independent random variables in a sub-linear expectation space, where the random variables are not necessarily identically distributed. Exponential inequalities for the maximum sum of independent random variables and Kolmogorov's converse exponential inequalities ...
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Data inversion methods to determine sub-3 nm aerosol size distributions using the particle size magnifier [PDF]
Measuring particle size distribution accurately down to approximately 1 nm is needed for studying atmospheric new particle formation. The scanning particle size magnifier (PSM) using diethylene glycol as a working fluid has been used for ...
R. Cai +14 more
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Complete moment convergence for ND random variables under the sub-linear expectations
AbstractIn this article, we establish a general result on complete moment convergence for arrays of rowwise negatively dependent(ND) random variables under the sub-linear expectations. As applications, we can obtain a series of results on complete moment convergence for ND random variables under the sub-linear expectations.
Feng, Feng-xiang +2 more
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A statistical mechanical approach for the computation of the climatic response to general forcings [PDF]
The climate belongs to the class of non-equilibrium forced and dissipative systems, for which most results of quasi-equilibrium statistical mechanics, including the fluctuation-dissipation theorem, do not apply.
V. Lucarini, S. Sarno
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