搜索结果: 1-15 共查到“知识库 non-Gaussian”相关记录34条 . 查询时间(0.156 秒)
State estimation under non-Gaussian Levy noise: A modified Kalman filtering method
Kalman filter modified Kalman filter Non-Gaussiannoise L′evy noise state estimation data assimilation
2013/4/28
The Kalman filter is extensively used for state estimation for linear systems under Gaussian noise. When non-Gaussian L\'evy noise is present, the conventional Kalman filter may fail to be effective d...
Non-Gaussian statistics, maxwellian derivation and stellar polytropes
Non-Gaussian statistics maxwellian derivation stellar polytropes Space Physics
2012/5/29
In this letter we discuss the Non-gaussian statistics considering two aspects. In the first, we show that the Maxwell's first derivation of the stationary distribution function for a dilute gas can be...
Local Scale-Dependent Non-Gaussian Curvature Perturbations at Cubic Order
E ective Field Theory Cosmology In ation Non-Gaussianity
2011/10/17
We calculate non-Gaussianities in the bispectrum and trispectrum arising from the cubic term in the local expansion of the scalar curvature perturbation. We compute to three-loop order and for general...
In the context of the geometrical analysis of weakly non Gaussian CMB maps, the 2D differential extrema counts as functions of the excursion set threshold is derived from the full moments expansion of...
Non Gaussian extrema counts for CMB maps
non Gaussian extrema counts CMB maps Cosmology and Extragalactic Astrophysics
2011/9/30
Abstract: In the context of the geometrical analysis of weakly non Gaussian CMB maps, the 2D differential extrema counts as functions of the excursion set threshold is derived from the full moments ex...
Sparse Non Gaussian Component Analysis by Semidefinite Programming
dimension reduction non-Gaussian components analysis feature extraction
2011/7/5
Sparse non-Gaussian component analysis (SNGCA) is an unsupervised method of extracting a linear structure from a high dimensional data based on estimating a low-dimensional non-Gaussian data component...
Non-Gaussian gravitational clustering field statistics
large-scale structure of Universe – galaxies clusters
2011/3/2
In this work we investigate the multivariate statistical description of the matter distribution
in the nonlinear regime.
Non-Gaussian gravitational clustering field statistics
Non-Gaussian gravitational clustering field statistics
2011/1/4
In this work we investigate the multivariate statistical description of the matter distribution in the nonlinear regime. We introduce the multivariate Edgeworth expansion of the lognormal distribution...
Convergence of numerical solutions to stochastic age-dependent population equations driven by non-Gaussian noise
stochastic age-dependent population equations compensated Poisson random measure
2010/9/25
It presents and analyzes the Euler methods for stochastic age-dependent population equations driven by Poisson random jump measure; Under the Local Lipschitz condition, we prove that the Euler approxi...
Non-Gaussian gravitational clustering field statistics
Cosmology and Extragalactic Astrophysics (astro-ph.CO) Statistics Theory (math.ST)
2010/12/17
In this work we investigate the multivariate statistical description of the matter distribution in the nonlinear regime. We introduce the multivariate Edgeworth expansion of the lognormal distribution...
Excursion Sets and Non-Gaussian Void Statistics
Excursion Sets Non-Gaussian Void Statistics
2010/12/24
Primordial non-Gaussianity (NG) affects the large scale structure (LSS) of the universe by leaving an imprint on the distribution of matter at late times. Much attention has been focused on using the...
Variational Approach to Yang--Mills Theory with non-Gaussian Wave Functionals
Yang--Mills Theory non-Gaussian Wave Functionals
2010/12/24
A general method for treating non-Gaussian wave functionals in quantum field theory is presented and applied to the Hamiltonian approach to Yang-Mills theory in Coulomb gauge in order to include a th...
Excursion Sets and Non-Gaussian Void Statistics
Excursion Sets Non-Gaussian Void Statistics
2010/11/11
Primordial non-Gaussianity (NG) affects the large scale structure (LSS) of the universe by leaving an imprint on the distribution of matter at late times. Much attention has been focused on using the ...
Linear amplification and quantum cloning for non-Gaussian continuous variables
Linear amplification quantum cloning non-Gaussian continuous variables
2010/10/19
We investigate phase-insensitive linear amplification at the quantum limit for single- and two-mode states and show that there exists a broad class of non-Gaussian states whose nonclassicality survive...
Making Tensor Factorizations Robust to Non-Gaussian Noise
Making Tensor Factorizations Robust Non-Gaussian Noise
2010/10/19
Tensors are multi-way arrays, and the Candecomp/Parafac (CP) tensor factorization has found application in many different domains. The CP model is typically fit using a least squares objective functio...