Fitting with MATLAB: Statistics, Optimization, and Curve Fitting

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Richard Willey, MathWorks

In this webinar, you will learn applied curve fitting using MathWorks products. MathWorks engineers will present a series of techniques for solving real world challenges.

Example demonstrations include:

• Constrained regression
• Predictive modeling with large numbers of independent variables
• Alternatives to Ordinary Least Squares

Key analytic techniques include:

• Feature selection
• Cross validation
• Principal component analysis
• Optimization
• Partial Least Squares Regression

View MATLAB Code

About the Presenter: Richard Willey is a product marketing manager at MathWorks where he focuses on MATLAB and add-on products for data analysis, Statistics, and Curve Fitting.  Prior to joining MathWorks in 2007, Richard worked at Wind River Systems and Symantec.  Richard has dual master’s in Engineering and Management from the Massachusetts Institute of Technology and a master’s degree in Economics from Indiana University.

Product Focus

  • Curve Fitting Toolbox
  • Econometrics Toolbox
  • Neural Network Toolbox
  • Optimization Toolbox
  • Statistics and Machine Learning Toolbox

Recorded: 24 Mar 2011