Response of Linear and Non-Linear Structural Systems under Gaussian or Non-Gaussian Filtered Input

1993 ◽  
pp. 203-299 ◽  
Author(s):  
G. Muscolino
Keyword(s):  
Structural Systems ◽  
Non Linear ◽  
Non Gaussian

scholarly journals Non-Gaussian inference from non-linear and non-Poisson biased distributed data

2014 ◽  
Vol 10 (S306) ◽  
pp. 258-261
Author(s):  
Metin Ata ◽  
Francisco-Shu Kitaura ◽  
Volker Müller
Keyword(s):  
Dark Matter ◽  
Statistical Inference ◽  
Computer Code ◽  
Matter Density ◽  
Density Field ◽  
Distributed Data ◽  
Dark Matter Density ◽  
Posterior Sampling ◽  
Non Linear ◽  
Non Gaussian

AbstractWe study the statistical inference of the cosmological dark matter density field from non-Gaussian, non-linear and non-Poisson biased distributed tracers. We have implemented a Bayesian posterior sampling computer-code solving this problem and tested it with mock data based onN-body simulations.

scholarly journals A Robust Non-Gaussian Data Assimilation Method for Highly Non-Linear Models

Atmosphere ◽  
2018 ◽  
Vol 9 (4) ◽  
pp. 126 ◽  
Author(s):  
Elias Nino-Ruiz ◽  
Haiyan Cheng ◽  
Rolando Beltran
Keyword(s):  
Data Assimilation ◽  
Linear Models ◽  
Non Linear ◽  
Non Gaussian ◽  
Gaussian Data

Non-Linear, Non-Gaussian Estimation for INS/GPS Integration

2012 ◽  
Vol 10 (5) ◽  
pp. 1081-1086 ◽  
Author(s):  
Thanh Trung Duong ◽  
Kai Wei Chiang
Keyword(s):  
Non Linear ◽  
Non Gaussian ◽  
Gaussian Estimation
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