Timeline for Simulate from a truncated mixture normal distribution

10 events

when toggle format	what		by	license	comment
Apr 13, 2017 at 12:44	history	edited	CommunityBot		replaced http://stats.stackexchange.com/ with https://stats.stackexchange.com/
May 11, 2015 at 21:15	comment	added	mjnichol		@user777 a Truncated Gaussian mixture has a different distribution from a Beta distribution and cannot be swapped out just because you can enforce symmetry and the same support.
Mar 24, 2015 at 8:59	history	edited	Silverfish	CC BY-SA 3.0	typo in title
Mar 23, 2015 at 19:04	history	tweeted			twitter.com/#!/StackStats/status/580082591413477377
Mar 23, 2015 at 17:05	history	edited	Xi'an	CC BY-SA 3.0	added 31 characters in body; edited tags; edited title
Mar 23, 2015 at 16:04	review	First posts
Mar 23, 2015 at 16:07
Mar 23, 2015 at 15:30	answer	added	Xi'an		timeline score: 16
Mar 23, 2015 at 14:53	comment	added	Elvis		If you don’t need your simulations to be very fast, you can do it using rejection sampling: (1) sample $x$ from the mixture of two normals, (2) if $x$ is not in $[0,1]$, go back to step 1, (3) output $x$. (but user777 is right, do you have a good reason to chose this distribution instead of a mixture of betas?)
Mar 23, 2015 at 14:45	comment	added	Sycorax♦		If it's on the unit interval, why not use betas instead of normals? For $\alpha=\beta>1$, the distribution is symmetric and unimodal and bounded on the unit interval.
Mar 23, 2015 at 14:21	history	asked	Alexy	CC BY-SA 3.0