Articles with "gaussian approximation" as a keyword



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Strong Gaussian approximation for cumulative processes

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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… read more here.

Keywords: strong gaussian; approximation cumulative; gaussian approximation; cumulative processes ... See more keywords

Gaussian approximation and moderate deviations of Poisson shot noises with application to compound generalized Hawkes processes

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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… read more here.

Keywords: moderate deviations; approximation; hawkes processes; poisson shot ... See more keywords

Screw dislocation structure and mobility in body centered cubic Fe predicted by a Gaussian Approximation Potential

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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… read more here.

Keywords: approximation potential; gaussian approximation; screw dislocation; structure ... See more keywords

Doped expectation propagation for low-complexity message passing based detection

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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… read more here.

Keywords: message; approximation; complexity message; expectation propagation ... See more keywords

Frozen Gaussian approximation for 3D seismic tomography

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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.… read more here.

Keywords: time; seismic tomography; gaussian approximation; tomography ... See more keywords

Gaussian Approximation-Based Belief Propagation Receiver for Uplink SCMA Systems With Imperfect CSIR

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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,… read more here.

Keywords: based belief; belief propagation; gaussian approximation; receiver ... See more keywords

Partial Gaussian-Approximation Soft Demapper for the Core Layer of MIMO-LDM in ATSC 3.0

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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… read more here.

Keywords: partial gaussian; mimo; demapper; demapper core ... See more keywords

Accurate EVSI Estimation for Nonlinear Models Using the Gaussian Approximation Method

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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… read more here.

Keywords: method; sample; approach; evsi ... See more keywords