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Published in 2022 at "Stochastic Processes and their Applications"
DOI: 10.1016/j.spa.2022.04.003
Abstract: We establish optimal logarithmic rates of convergence in the strong invariance principle for multivariate cumulative processes in the Smith's sense. Exponential probabilistic inequalities of Komlos-Major-Tusnady type are obtained. Provided examples include applications to stopped sums…
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Keywords:
strong gaussian;
approximation cumulative;
gaussian approximation;
cumulative processes ... See more keywords
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Published in 2024 at "Advances in Applied Probability"
DOI: 10.1017/apr.2024.51
Abstract: Abstract In this article, we give explicit bounds on the Wasserstein and Kolmogorov distances between random variables lying in the first chaos of the Poisson space and the standard normal distribution, using the results of…
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Keywords:
moderate deviations;
approximation;
hawkes processes;
poisson shot ... See more keywords
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Published in 2018 at "npj Computational Materials"
DOI: 10.1038/s41524-018-0125-4
Abstract: The plastic flow behavior of bcc transition metals up to moderate temperatures is dominated by the thermally activated glide of screw dislocations, which in turn is determined by the atomic-scale screw dislocation core structure and…
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Keywords:
approximation potential;
gaussian approximation;
screw dislocation;
structure ... See more keywords
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Published in 2017 at "Electronics Letters"
DOI: 10.1049/el.2016.3467
Abstract: Expectation propagation (EP) has been used for Gaussian approximation of discrete-valued symbols to achieve low-complexity message passing based detection. It has been shown that EP-based Gaussian approximation significantly outperforms the direct Gaussian approximation. A doped…
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Keywords:
message;
approximation;
complexity message;
expectation propagation ... See more keywords
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Published in 2018 at "Inverse Problems"
DOI: 10.1088/1361-6420/aab2be
Abstract: Three-dimensional (3D) wave-equation-based seismic tomography is computationally challenging in large scales and high-frequency regime. In this paper, we apply the frozen Gaussian approximation (FGA) method to compute 3D sensitivity kernels and seismic tomography of high-frequency.…
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Keywords:
time;
seismic tomography;
gaussian approximation;
tomography ... See more keywords
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Published in 2018 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2018.2874441
Abstract: For uplink sparse code multiple access (SCMA) systems, a channel estimation is required to support a multi-user detection in practice. Motivated by the conventional detection, called a Gaussian approximation-based belief propagation (GA-BP) with matched filtering,…
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Keywords:
based belief;
belief propagation;
gaussian approximation;
receiver ... See more keywords
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2
Published in 2022 at "IEEE Transactions on Broadcasting"
DOI: 10.1109/tbc.2021.3105029
Abstract: In this paper, we propose a new partial Gaussian approximation (PGA) soft demapper for the core layer (CL) signal in the multiple-input-multiple-output layered-division-multiplexing (MIMO-LDM) of ATSC 3.0 systems. Unlike a conventional GA demapper, where enhanced…
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Keywords:
partial gaussian;
mimo;
demapper;
demapper core ... See more keywords
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Published in 2024 at "Medical Decision Making"
DOI: 10.1177/0272989x241264287
Abstract: Background The expected value of sample information (EVSI) measures the expected benefits that could be obtained by collecting additional data. Estimating EVSI using the traditional nested Monte Carlo method is computationally expensive, but the recently…
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Keywords:
method;
sample;
approach;
evsi ... See more keywords