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Description: This book provides a comprehensive and systematic approach to understanding GARCH time series models and their applications whilst presenting the most advanced results concerning the theory and practical aspects of GARCH. The probability structure of standard GARCH models is studied in detail as well as statistical inference such as identification, estimation and tests. The book also provides coverage of several extensions such as asymmetric and multivariate models and looks at financial applications
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Size: 2544640 |
Author: sun wei |
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Description: 多变量时间序列相空间重构最大李雅普诺夫指数计算-Multivariate time series phase space reconstruction of the maximum Lyapunov index calculation
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Size: 58368 |
Author: wyk |
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Description: 多元GARCH模型 多元GARCH模型-Multivariate GARCH model
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Size: 84992 |
Author: 莉莉 |
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Description: 算法大全 全书分30章及2附录（在MATLAB中实现）对常用数学算法进行汇总介绍。
主要包括：线性规划、非线性规划、动态规划、图与网络、排队论、对策论、层次分析法、插值与拟合、数据的统计描述和分析、方差分析、回归分析、微分方程建模、稳定状态模型、常微分方程解法、差分方程模型、马氏链模型、变分法模型、神经网络模型、偏微分方程的数值解、目标规划、模糊数值模型、现代优化算法、时间序列模型、存贮论、经济与金融的优化问题、生产与服务运作管理中的优化问题、灰色系统理论及其应用、多元分析、偏最小二乘回归以及附录-Complete collection of algorithm including 30 chapters and 2 appendices: linear programming, nonlinear programming, dynamic programming, graph and networks, queuing theory, game theory, the level of analysis, interpolation and fitting, statistical description and analysis of data , analysis of variance, regression analysis, differential equations modeling, steady-state model, ordinary differential equation solution, difference equation model, Markov chain model, variational method model, neural network model, the numerical solution of partial differential equations, goal programming, fuzzy numerical model, modern optimization algorithms, time series models, storage theory, the optimization of economic and financial issues, production and service operations management in the optimization problem, gray system theory and its applications, multivariate analysis, partial least squares regression, and Appendix
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Size: 7684096 |
Author: 商志远 |
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Description: 本程序是应用数值分析对线性多元方程组的一种解法……高斯列主元消去法-This procedure is the application of numerical analysis of linear multivariate equations out of a solution ... ... the main element of Gaussian elimination
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Size: 1024 |
Author: 肖宇 |
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Description: BP-神经网络 The neural network is trained with the Levenberg-Marquardt algorithm.
The activation functions can be either linear ( L ) or hyperbolic tangent ( H ).-Backpropagation neural network with one hidden layer for multivariate calibration. (Designed to model only one response y at a time)
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Size: 20480 |
Author: 郭乐 |
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Description: 支持向量机matlb程序，用于优化实验次数有限的多变量模型。-Support vector machine matlb program for optimizing the limited number of experiments multivariate model.
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Size: 8192 |
Author: linwenjie |
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Description: 多变异遗传算法增加了种群的多样性，将自变量的二进制表示的多个位取反-Multivariate genetic algorithm to increase the diversity of population, will be from a number of binary variables to bit
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Size: 1024 |
Author: liqiang |
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Description: 求解多元解方程 Solving the multivariate linear equations-Solving the multivariate linear equations
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Size: 1024 |
Author: huangtuo |
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Description: multivariate relevant vector machine
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Size: 5120 |
Author: goryn |
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Description: Subspace Techniques with AlphaStable Distributions-The optimal ML techniques employed in Chapter are often regarded as exceedingly
complex due to the high computational load of the multivariate nonlinear optimization
problem involved with these techniques Hence suboptimal methods need to be developed
for the solution of the DOA problem in the presence of impulsive noise when reduced
computational cost is a crucial design requirement
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Size: 565248 |
Author: 陈鹏 |
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Description: User Manual for STABLE 5.1-This manual gives information about the STABLE library, which computes basic quantities for univariate
stable distributions: densities, cumulative distribution functions, quantiles, and simulation. Statistical
routines are given for fitting stable distributions to data and assessing the fit. Utility routines give information
about the program and perform related calculations. Quick spline approximations of the basic
functions are provided. Densities, cumulative distribution functions and simulation for discrete/quantized
stable distributions are described.
The multivariate module gives functions to compute bivariate stable densities, simulate stable random
vectors, and fit bivariate stable data. In the radially symmetric case, the amplitude densities, cumulative
distribution functions, quantiles are computed for dimension up to 100.
The signal filtering module includes functions to compute non-linear filters for signals with heavy tailed
noise. Specifically, a novel stable fi
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Size: 464896 |
Author: 陈鹏 |
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Description: 这是张德丰《MATLAB概率与数理统计分析》随书源码(M文件)。代码包括的内容有：概率分布计算及统计特征、数字特征计算、统计图绘制(盒状图、散度图等)、点估计和区间估计、假设检验、方差分析、曲线拟合、回归分析、因素分析、聚类分析、正交实验设计分析、多元方差分析、判别分析、隐马尔可夫模型建模与参数估计和在语音识别中的应用。-This is Zhang Defeng " MATLAB Analysis of probability and mathematical statistics," with the book source (M file). The contents of the code include: calculation of the probability distribution and statistical characteristics, digital feature calculation, statistical mapping (box-shaped graph, scatter graph, etc.), point and interval estimation, hypothesis testing, analysis of variance, curve fitting, regression analysis, factor analysis, cluster analysis, orthogonal experimental design, multivariate analysis of variance, discriminant analysis, hidden Markov modeling and parameter estimation and application in speech recognition.
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Size: 32768 |
Author: 吴 |
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Description: This document explain the MLE and MSE in multivariate case
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Size: 194560 |
Author: nacerpdf |
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Description: 多元线性回归分析 置信区间，R平方，F统计量值，与统计量F对应的概率P-Multivariate linear regression
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Size: 1024 |
Author: ALBERT |
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Description: 聚类分析是多元统计分析的一种，也是无监督模式识别的一个重要分支，在模式分类 图像处理和模糊规则处理等众多领域中获得最广泛的应用。它把一个没有类别标记的样本按照某种准则划分为若干子集，使相似的样本尽可能归于一类，而把不相似的样本划分到不同的类中。硬聚类把每个待识别的对象严格的划分某类中，具有非此即彼的性质，而模糊聚类建立了样本对类别的不确定描述，更能客观的反应客观世界，从而成为聚类分析的主流。-Clustering analysis is a kind of multivariate statistical analysis, unsupervised pattern recognition is an important branch in pattern classification, image processing and fuzzy rule processing and so on themultitudinous domain gain the most widely used. It puts a no classes according to certain standards of sample mark divided into several subsets, make similar samples as far as possible, and not to class of similar sample divided into different classes. Hard clustering each to identify the object strict division, which has certain either/or properties, and fuzzy clustering established sample of categories of uncertainty description, more can objectively reaction to the objective world, becoming the mainstream of the cluster analysis.
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Size: 432128 |
Author: 金丰 |
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Description: MATLAB主成分分析，改变变量后可以用于因子变量分析，生物学上的-MATLAB component analysis, change the variables can be used to factor multivariate analysis, biological
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Size: 1024 |
Author: king |
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Description: LM算法的简要描述。LM算法是一种定位多变量函数最小值的迭代技术，是解决非线性最小二乘问题的基本技术之一。-The Levenberg-Marquardt(LM)algorithm is an iterative technique that locates
the minimum of a multivariate function that is expressed as the sum of squares
of non-linear real-valued functions[4,6].It has become a standard technique
for non-linear least-squares problems[7],widely adopted in a broad spectrum of
disciplines.LM can be thought of as a combination of steepest descent and the
Gauss-Newton method.
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Size: 27648 |
Author: 徐琼 |
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Description: 回声状态网络多变量预测模型Echo state network prediction model for multivariate-Echo state network prediction model for multivariate
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Size: 342016 |
Author: fit |
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Description: 多元统计分析方法，聚类分析的原理讲解资料-Multivariate statistical analysis, cluster analysis to explain the principles of information
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Size: 41984 |
Author: LEOLEE |
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