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《Software for Flexible Bayesian Modeling and Markov Chain Sampling》是机器学习领域专家Neal编写的用于Bayesian和马尔可夫链Linux下的C语言工具包。很有名，也很权威。
-This software supports Bayesian regression and classification models based on neural networks and Gaussian processes, and Ba
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偏最小二乘回归的通用程序，以“基于近红外光谱分析的汽油组分建模”为例
-Partial least squares regression of the general program of " Near infrared spectroscopy based gasoline component modeling" as an example
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C++做的逐步回归分析程序，用于数据统计分析建模-C++do stepwise regression analysis program, used for data analysis modeling
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房地产问题的分析，这是东北大学暑假数学建模培训的第三次作业。用到回归分析等方法-Real estate analysis of the problem, which is Northeastern University summer training in mathematical modeling of the third operation. Regression analysis and other methods used
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数据回归分析和拟合的Matlab实现相关文档，详细介绍了通过Matlab软件来做数据回归分析和拟合的方法函数，是快速入门的好资料-Data regression analysis and fitting by， Matlab，Mathematical Modeling
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Calculate PLS model for Paul method (reference:1986 Partial Least-Squares regression:A tutorial)
PLS is a modeling method for linear system, and it s powerful to solve variables that have interaction.
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自回归模型是数学预测计算中很常用的模型，用途广泛，在工程实际背景或者数学建模竞赛中都会经常用到-Since the regression model is very commonly used mathematical calculations to predict the model, widely used in engineering or mathematical modeling contest in the background are often used
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人口增长模型，用于数学建模数据分析与绘图，其中包括线性拟合、指数增长模型以及阻滞增长模型。-Population growth model for mathematical modeling of data analysis and graphics, including linear regression, exponential growth model and arrest growth model.
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ML法能够很好的估计信号的信噪比,pwm整流器的建模仿真，包括AHP，因子分析，回归分析，聚类分析。- ML estimation method can be a good signal to noise ratio, Modeling and simulation pwm rectifier Including AHP, factor analysis, regression analysis, cluster analysis.
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最小二乘回归分析算法，非归零型差分相位调制信号建模与仿真分析 ，本程序的性能已经达到较高水平。- Least-squares regression analysis algorithm, NRZ type differential phase modulation signal modeling and simulation analysis, The performance of the program has reached a high level.
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cholesky分解是用于将一个对称正定的矩阵分解为一个上三角与一个下三角矩阵乘积的形式，可运用于回归系数求解，线性方程组求解中
逐步回归是在回归分析的建模过程中用于变量筛选的有效方法，这里同时进行了向前和向后回归，效果更加显著(Cholesky decomposition is used to decompose a symmetric positive definite matrix into an upper triangle and a lower triangular matrix
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