Results 21 to 30 of about 7,552,651 (318)
A Modified ICA based Process Monitoring Strategy-Case Study of a Steel Billet Manufacturing Unit [PDF]
The article highlights the development of a Non-Gaussian Process Monitoring Strategy for a Steel Billet Manufacturing Unit (SBMU). The non-Gaussian monitoring strategy being proposed is based on Modified Independent Component Analysis (ICA) which is a ...
Bhagwan Kumar Mishra, Anupam Das
doaj
Foundations for Universal Non‐Gaussian Data Assimilation
In many applications of data assimilation, especially when the size of the problem is large, a substantial assumption is made: all variables are well‐described by Gaussian error statistics.
Senne Van Loon, Steven J. Fletcher
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Non-Gaussianity from preheating [PDF]
4 pages ReVTeX4, discussion and references added, conclusions ...
Enqvist, Kari +4 more
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Multiplicative Non‐Gaussian Model Error Estimation in Data Assimilation
Model uncertainty quantification is an essential component of effective data assimilation. Model errors associated with sub‐grid scale processes are often represented through stochastic parameterizations of the unresolved process.
S. Pathiraja, P. J. vanLeeuwen
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The characteristic of the external noise has significant influences on system modelling and identification, and the assumption that the noise follows the Gaussian distribution may be invalid due to realistic reasons.
Xuehai Wang, Feng Ding
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Non-Gaussian distributions of absolute free energies in ensemble molecular dynamics simulations [PDF]
Significantly more ‘outliers’ can be produced from a non-Gaussian distribution than one would anticipate were the statistics to conform to a normal distribution.
Shunzhou, Wan, Peter, Coveney
core +1 more source
Optimal Lp filtering for discrete‐time non‐Gaussian dynamic systems
This paper investigates the Lp filtering problem for linear dynamic systems. The main objective is to discuss the optimal filter for non‐Gaussian systems.
Elham Javanfar, Mehdi Rahmani
doaj +1 more source
Non-Gaussianity in a matter bounce [PDF]
10 pages, 6 figures, 2 references ...
Cai, Yi-Fu +3 more
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Non-Gaussian Process Regression
Standard GPs offer a flexible modelling tool for well-behaved processes. However, deviations from Gaussianity are expected to appear in real world datasets, with structural outliers and shocks routinely observed. In these cases GPs can fail to model uncertainty adequately and may over-smooth inferences.
Yaman Kindap, Simon J. Godsill
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Gaussian and Non-Gaussian operations on non-Gaussian state: engineering non-Gaussianity
AbstractMultiple photon subtraction applied to a displaced phase-averaged coherent state, which is a non-Gaussian classical state, produces conditional states with a non trivial (positive) Glauber-Sudarshan Prepresentation. We theoretically and experimentally demonstrate that, despite its simplicity, this class of conditional states cannot be fully ...
S. Olivares, A. Allevi, M. Bondani
openaire +2 more sources

