Commit f674e44c authored by Simon Ciranka's avatar Simon Ciranka

Update README.md

parent 83ea44d0
......@@ -9,14 +9,6 @@ under the specific probability estimate of the participant is now the
likelihood that we validate our parameter estimates with. For this i first need a function that returns discrete values for
the probability denisty in question.
I implemented the function you sent to me in your mail. At some point
when you talk about the arguments that you pass to the cumulative
densitiy function which you use to get a log likelihood; you say sigma
is sigma. In the example you sent to me; you do not use sigma as the
variance estimate of the beta updating before. You pass sigma with the
function one higher level that you then minimize. Is sigma as you use it
a free parameter of the model as well? So you dont have one but two free
parameters?
discretenormalMarble005(posResp,model_weight, sigma); % THIS IS THE CUSTOM FUNCTION WE BUILT FOR THIS STEP SEE BELOW (posResp is list made above. I guess of all possible resonses a subject can make).. sigma is sigma..
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