Maximum Likelihood estimators of simple linear regression weights
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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
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Answers (1)
Image Analyst
on 6 Oct 2012
Try polyfit().
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Tom Lane
on 8 Oct 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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