Econometrics Toolbox
MATLAB-based Econometrics Toolbox featuring linear and nonlinear regression implementations, GARCH model estimation, and VAR model construction with statistical analysis capabilities.
Explore MATLAB source code curated for "线性回归" with clean implementations, documentation, and examples.
MATLAB-based Econometrics Toolbox featuring linear and nonlinear regression implementations, GARCH model estimation, and VAR model construction with statistical analysis capabilities.
This MATLAB toolbox provides excellent practical examples for performing linear regression, multiple linear regression, and nonlinear regression analysis. The package includes detailed tutorial presentations and ready-to-use MATLAB code implementations, featuring regression algorithms, model fitting techniques, and statistical validation methods. These resources are highly practical for understanding regression modeling concepts and applications.
Linear Regression Algorithm
MATLAB programs for audio watermarking featuring two main components: wavelet domain audio watermarking with Modified Discrete Cosine Transform (MDCT) and watermark detection algorithms based on HRT (Harmonic Rejection Technique) and linear regression. The implementation includes robust embedding and detection mechanisms with preprocessing and postprocessing capabilities.
This MATLAB source code provides a generic implementation of Support Vector Machine (SVM) nonlinear regression, applicable for linear regression, nonlinear regression, nonlinear function fitting, data modeling, prediction, and classification scenarios. The implementation utilizes kernel functions for handling nonlinear relationships and includes optimization algorithms for efficient parameter tuning.
Implementation of linear regression using gradient descent method in MATLAB - a practical machine learning routine with code examples and algorithm explanation.
MATLAB Code Implementation for Statistical Regression Analysis with Algorithm Explanations
Commonly Used Algorithms in Regression Analysis
The Least Squares Method in MATLAB: Implementation Approaches and Algorithm Explanations