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Maximum Likelihood estimators of simple linear regression weights

6 Ansichten (letzte 30 Tage)
Shahid
Shahid am 6 Okt. 2012
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

Antworten (1)

Image Analyst
Image Analyst am 6 Okt. 2012
Try polyfit().
  1 Kommentar
Tom Lane
Tom Lane am 8 Okt. 2012
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.

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