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Results tagged with Search options user 1739

This tag describes the process of creating a statistical or machine learning model. Always add a more specific tag.

6
votes
happened in the treatment in a plot. The code to do so is the line with the ts.plot Time series modeling A simple linear modelling approach, such as you see on the last line of the example, adds an …
answered Mar 30 '12 by conjugateprior
18
votes
The other side of the answer, complementary to mpiktas's answer but not mentioned so far, is: "They don't, but as soon as they assume some model structure, they can check it against the data". The …
answered Jan 4 '11 by conjugateprior
3
votes
There are two questions here: 1) how much confidence should you put in your model with peaked and flat components. 2) how much confidence should you put in the EM algorithm as a way to fit this model. …
answered Nov 3 '10 by conjugateprior
1
vote
You should be fitting the interaction model: $$ Y = \beta_0 + \beta_A A + \beta_B B + \beta_{AB} (A \times B) $$ See Kronmal (1993), sections 4 & 5 for the argument.
answered Mar 16 '18 by conjugateprior
1
vote
Note that this is different from regression, since there is NO additive error term, i.e. f and g are both deterministic functions of X. On the other hand it seems to differ from (plain vanilla) fun …
answered Oct 15 '14 by conjugateprior