Maximum Likelihood estimators of simple linear regression weights

5 次查看(过去 30 天)
Hi, Sorry if this question is too simple. I am new to matlab and statistics aswell. I have a to train a simple linear regression model which has n features. This means that I have to calculate n weights for the features. So what I need to ask is that how can I calculate the maximum likelihood estimators of the weights in matlab.
Thanks

回答(1 个)

Image Analyst
Image Analyst 2012-10-6
Try polyfit().
  1 个评论
Tom Lane
Tom Lane 2012-10-8
Or backslash or a Statistics Toolbox function such as regress, if n represents the number of columns in your matrix of features. These yield least squares estimates, which are the maximum likelihood estimators if the output (response) has a normal distribution.

请先登录,再进行评论。

类别

Help CenterFile Exchange 中查找有关 Regression 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by