搜索结果: 1-15 共查到“理论统计学 component”相关记录21条 . 查询时间(0.187 秒)
Component groups of unipotent centralizers in good characteristic
Algebraically closed field is good conjugacy classes group conjugacy classes
font style='font-size:12px;'>
2014/12/29
Let G be a connected, reductive group over an algebraically closed field of good characteristic. For uG unipotent, we describe the conjugacy classes in the component group A(u) of the centralizer of u...
Families of matter-waves in two-component Bose-Einstein condensates
Family solutions bicomponent nonlinear schrodinger equation linear stability condensate
font style='font-size:12px;'>
2014/12/29
We produce several families of solutions for two-component nonlinear Schrödinger/Gross-Pitaevskii equations. These include domain walls and the first example of an antidark or gray soliton in one...
Domain walls in two-component dynamical lattices
Domain wall bimodal discrete nonlinear schrodinger equation the mode coupling
font style='font-size:12px;'>
2014/12/29
We introduce domain-wall (DW) states in the bimodal discrete nonlinear Schrödinger equation, in which the modes are coupled by cross-phase modulation (XPM). The results apply to an array of nonli...
Domain walls of single-component Bose–Einstein condensates in external potentials
Gross - Pitaevskii equation the magnetic trap distortion spatial soliton nonlinear planar optical waveguide
font style='font-size:12px;'>
2014/12/25
We demonstrate the possibility of creating domain walls described by a single component Gross–Pitaevskii equation with attractive interactions, in the presence of an optical–lattice potential. While i...
Stability of waves in multi-component DNLS system
System Evans function method discrete equations vector system Evans function
font style='font-size:12px;'>
2014/12/25
In this work, we systematically generalize the Evans function methodology to address vector systems of discrete equations. We physically motivate and mathematically use as our case example a vector fo...
Two-component nonlinear Schrodinger models with a double-well potential
Model of condensate hyperfine status the mixture
font style='font-size:12px;'>
2014/12/25
We introduce a model motivated by studies of Bose–Einstein condensates (BECs) trapped in double-well potentials. We assume that a mixture of two hyperfine states of the same atomic species is loaded i...
Phase separation and dynamics of two-component Bose-Einstein condensates
Binary bose-einstein condensate revisit miscibility oscillatory dynamics
font style='font-size:12px;'>
2014/12/24
We study the interactions between two atomic species in a binary Bose-Einstein condensate to revisit the conditions for miscibility, oscillatory dynamics between the species, steady-state solutions, a...
Stable Vortex–Bright-Soliton Structures in Two-Component Bose-Einstein Condensates
Numerical two-component structure condensate ordinary topological charge symbiotic state defocusing eddy
font style='font-size:12px;'>
2014/12/24
We report the numerical realization of robust two-component structures in 2D and 3D Bose-Einstein condensates with nontrivial topological charge in one component. We identify a stable symbiotic state ...
Optimal Rates of Convergence of Transelliptical Component Analysis
Transelliptical component analysis Optimal rates of convergence Double asymptotics Minimax lower bound Elliptical copula
font style='font-size:12px;'>
2013/6/14
Han and Liu (2012) proposed a method named transelliptical component analysis (TCA) for conducting scale-invariant principal component analysis on high dimensional data with transelliptical distributi...
Markov Switching Component ARCH Model: Stability and Forecasting
ARCH models Markov process Stability Component GARCH models Forecasting Bayesian inference Griddy Gibbs sampling
font style='font-size:12px;'>
2013/4/28
This paper introduces an extension of the Markov switching ARCH model where the volatility in each state is a convex combination of two different ARCH components with time varying weights with differe...
A Unified Framework for Probabilistic Component Analysis
A Unified Framework Probabilistic Component Analysis
font style='font-size:12px;'>
2013/5/2
In this paper, we present a unifying framework which reduces the construction of probabilistic component analysis techniques to a mere selection of the latent neighbourhood via the prior, thus providi...
Model selection and estimation of a component in additive regression
Model selection estimation component additive regression
font style='font-size:12px;'>
2012/11/23
Let $Y\in\R^n$ be a random vector with mean $s$ and covariance matrix $\sigma^2P_n\tra{P_n}$ where $P_n$ is some known $n\times n$-matrix. We construct a statistical procedure to estimate $s$ as well ...
Temporal and Spatial Independent Component Analysis for fMRI data sets embedded in a R package
Computation (stat.CO) Medical Physics (physics.med-ph) Applications (stat.AP)
font style='font-size:12px;'>
2010/12/17
For statistical analysis of functional Magnetic Resonance Imaging (fMRI) data sets, we propose a data-driven approach based on Independent Component Analysis (ICA) implemented in a new version of the ...
Principal Component Analysis with Contaminated Data：The High Dimensional Case
Statistical Learning Dimension Reduction Principal Component Analysis Robustness Outlier
font style='font-size:12px;'>
2010/3/10
We consider the dimensionality-reduction problem (finding a subspace approximation of observed data) for
contaminated data in the high dimensional regime, where the number of observations is of the s...
Robust Independent Component Analysis by Iterative Maximization of the Kurtosis Contrast with Algebraic Optimal Step Size
Atrial fibrillation (AF) blind source separation (BSS) independent component analysis (ICA) iterative optimization kurtosis
font style='font-size:12px;'>
2010/3/10
Independent component analysis (ICA) aims at decomposing an observed random vector into
statistically independent variables. Deflation-based implementations, such as the popular one-unit FastICA algo...