1 / 6

Chapter 2 Model Building through Regression

Chapter 2 Model Building through Regression. Figure 2.1 (a) Unknown stationary stochastic environment. (b) Linear regression model of the environment. Figure 2.2 Least Squares classification of the double-moon of Fig. 1.8 with distance d = 1.

fogg
Download Presentation

Chapter 2 Model Building through Regression

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Chapter2Model Building through Regression

  2. Figure 2.1 (a) Unknown stationary stochastic environment. (b) Linear regression model of the environment.

  3. Figure 2.2 Least Squares classification of the double-moon of Fig. 1.8 with distance d = 1.

  4. Figure 2.3 Least-squares classification of the double-moon of Fig. 1.8 with distance d = –4.

  5. Figure 2.4 (a) Mathematical model of a stochastic environment, parameterized by the vector w. (b) Physical model of the environment, where ŵ is an estimate of the unknown parameter vector w.

  6. Figure 2.5 Decomposition of the natural measure Lav(f(x, w), F(x, ŵ )), defined in Eq. (2.46), into bias and variance terms for linear regression models.

More Related