Timeline for Sample from a custom continuous distribution in R
Current License: CC BY-SA 3.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Mar 4, 2014 at 20:10 | comment | added | Jonas Lindeløv | Thanks for the elaboration. I'm not just interested in the MLE, though. Since this is Gibbs sampling, I need a random mu sampled from the likelihood of mu given fixed data/sigma. | |
| Mar 4, 2014 at 18:05 | comment | added | Georg Schnabel |
quantile = qnorm(runif(0,0,1),mean=mean(D),sd=sigma/sqrt(length(D))
|
|
| Mar 4, 2014 at 17:37 | history | edited | Georg Schnabel | CC BY-SA 3.0 |
added 401 characters in body
|
| Mar 4, 2014 at 14:15 | comment | added | Jonas Lindeløv | Thanks! I do have some trouble translating the random quantile to a value of mu, though (given a data point/vector and sigma). Any pointers? Isolate mu from the expression above? I'm stuck at: quantile = qnorm(runif(0, 0, 1)) | |
| Mar 4, 2014 at 13:20 | history | answered | Georg Schnabel | CC BY-SA 3.0 |