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estimate_AR
- 采用L-D算法，估算自回归模型（AR模型）系数。L-D法是一种矩阵递推估计法-LD algorithm to estimate the coefficients of the autoregressive model (AR model). The LD method is a matrix recursive estimation method
CARS_PLS
- 竞争性自适应重加权算法（CARS）是通过自适应重加权采样（ARS）技术选择出PLS模型中回归系数绝对值大的波长点，去掉权重小的波长点，利用交互验证选出RMSECV指最低的子集，可有效寻出最优变量组合。(Competitive adaptive reweighted algorithm (CARS) is obtained by adaptive reweighted sampling (ARS) technique is selected in the PLS model regression
cars
- 竞争性自适应重加权算法（CARS）是通过自适应重加权采样（ARS）技术选择出PLS模型中回归系数绝对值大的波长点，去掉权重小的波长点，利用交互验证选出RMSECV指最低的子集，可有效寻出最优变量组合。(The competitive adaptive weight weighting algorithm (CARS) uses adaptive heavy weighted sampling (ARS) to select the wavelength points with large abs
CARS
- 用于matlab模式识别（分类和回归）的特征变量提取方法，竞争性自适应重加权算法（CARS）是通过自适应重加权采样（ARS）技术选择出PLS模型中回归系数绝对值大的波长点，去掉权重小的波长点，利用交互验证选出RMSECV指最低的子集，可有效寻出最优变量组合。(The method of feature variables extraction for matlab pattern recognition (classification and regression), competitive a
模拟验证一阶自回归模型中自回归系数
- 运用Python的数组和矩阵操作模拟验证一阶自回归模型中，自回归系数OLS估计量的有限样本偏差问题。(Python array and matrix operations are used to simulate and verify the finite sample bias of OLS estimator of autoregressive coefficient in the first-order autoregressive model.)