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psd
- 计算ARMA(p，q)模型的功率谱密度。 形参说明： b——双精度实型一维数组，长度为(q+1),存放ARMA(p，q)模型的滑动平均系数。 a——双精度实型一维数组，长度为(p+1),存放ARMA(p,q)模型的自回归系数。 q——整型变量,ARMA(p,q)模型的滑动平均阶数。 p——整型变量,ARMA(p,q)模型的自回归阶数。 sigma2——双精度实型变量,ARMA(p,q)模型白噪声激励的方差。 fs——双精度实型变量,采样频率(Hz)。
libsvm-2.81
- Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It can solve C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic
BPC++
- Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic mo
mypls
- Partial Least Squares regression bilinear factor model 的输出源码-Partial Least Squares regression bilinea r factor model output FOSS
arfit
- AR 模型拟合，解决多变量自回归 (AR) 模型的参数估计问题-AR model fitting, since the settlement multivariable regression (AR) model parameter estimation problems
svm
- libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic mo
Emerging.Topics.in.Computer.Vision
- 深入浅出介绍计算机视觉的最新动态。内容包括： * Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration * Extracting camera motion and scene structure from image sequences * Robust regression for model fitting using M-estimators, RANSAC, and
svm_v0.55beta
- 最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, \"The Nature of Statistical Learning Theory\", Springer-Verl
Logistic
- 逻辑回归模型的实现，最易理解的分类器，适合小样本数据集(The realization of logistic regression model, the most understandable classifier, is suitable for small sample datasets.)
SSTVARToolbox
- 平滑转换向量自回归模型的估计、检验以及应用，包含若干子代码(The estimation, inspection and application of the smoothing transformation vector auto regression model contain several sub codes.)
SARIMA
- 周期性差分自动平滑回归模型(SARIMA)的matlab代码，附有注释(英文)。包括模型阶数的选择和预测输出以及分析用图像和MAPE评价数值。(The code for matlab code for the periodic differential automatic smoothing regression model (SARIMA) with comments (in English). Including the choice of model order and forecast
预处理.py
- 使用python对数据进行预处理后跑逻辑回归模型(Using Python to preprocess the data, run the logistic regression model.)
RBF神经网络回归模型
- RBF神经网络的一个回归模型，希望对大家有所帮助(RBF neural network regression model, we hope to help everyone.)
1_multcox
- 生物医学上的cox回归模型，相信你会学透并理解(Cox regression model in biomedicine, I believe you will learn and understand it thoroughly)
Python实现逻辑回归与梯度下降策略
- 建立一个逻辑回归模型来预测一个大学生是否被大学录取(Establish a logistic regression model to predict whether a college student will be admitted to a university)
PSTR资料
- 运算面板平滑转换回归模式PSTR的程序，是学术节计量经济学的重点程序(Many paper firstly uses the latest dynamic panel smooth transition regression model to investigate the relationship between Insurance and Economic growth for thirty countries in a nonlinear framework)
PSTR
- R Programming implementation of panel smoothing threshold regression model
best_linear_regression_equation
- 病人有四个指标：X1：凝血值；X2：预后指数（与年龄相关）；X3：酶化验值；X4肝功能化验值。54位肝病人术前数据与术后生存时间如表所示.病人生存时间的Box-Cox变换变量Z与X1，X2，X3，X4的线性回归模型是合理的，程序实现了如何选择最优回归方程。(Patients have four indexes: X1: coagulation value; x2: prognosis index (related to age); X3: enzyme test value; X4 liver
贝叶斯向量自回归MATLAB代码
- 使用matlab实现贝叶斯向量自回归模型，可用于经济学中的预测(It can realize Bayesian vector autoregressive model, and it can be used to predict in economics.)
nes_logistic
- 基于贝叶斯理论的logistic回归模型的建立、预测。(The establishment and prediction of logistic regression model based on Bayesian theory.)