Timeline for Statistical Test between two Gaussian Mixture Models [closed]
Current License: CC BY-SA 3.0
22 events
| when toggle format | what | by | license | comment | |
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| Dec 23, 2023 at 4:02 | comment | added | Ben Farmer | I would say they effectively want a test of whether the two sets of samples come from the same distribution, but potentially making use of an assumption that the true distribution is some kind of Gaussian mixture. So rather than doing a non-parametric test one can perhaps do the test based on fitting a Gaussian mixture model. | |
| Jan 17, 2017 at 17:05 | history | undeleted | Scortchi♦ | ||
| Jan 17, 2017 at 5:15 | history | deleted | CommunityBot | User 46925 deleted | |
| Mar 29, 2016 at 15:09 | comment | added | user46925 | This is just a two sample test where each of the samples is bimodal in nature. | |
| Mar 28, 2016 at 18:21 | comment | added | Tim | @zero but those are two different models, computed on different data. Example: you want to compare model that assumes normal distribution with parameters $\mu$ and $\sigma$ for human height to another model that assumes binomial distribution for number of heads in $n$ coin tosses parametrized by $p$ -- what and how would you like to compare in here? It is like comparing taste of pizza to speed of a sports car... | |
| Mar 28, 2016 at 17:19 | history | closed |
Tim amoeba gung - Reinstate Monica John whuber♦ |
Needs details or clarity | |
| Mar 27, 2016 at 21:05 | comment | added | user46925 | Yes the models, what else? | |
| Mar 27, 2016 at 21:00 | comment | added | Tim | Whether what is statistically different? The data (what aspect of it?), the models? | |
| Mar 27, 2016 at 19:45 | comment | added | gung - Reinstate Monica | Possible duplicate of Zero inflate models vs generalized mixture model | |
| Mar 27, 2016 at 19:19 | comment | added | user46925 | Whether they are statistically different! | |
| Mar 27, 2016 at 19:19 | comment | added | Tim | What would you like to compare in this scenario? You have two different models fitted to two different datasets... | |
| Mar 27, 2016 at 19:10 | review | Close votes | |||
| Mar 28, 2016 at 10:41 | |||||
| Mar 27, 2016 at 19:02 | comment | added | user46925 | Two samples and I fit a GMM for each of those samples; hence I have 2 GMMs. | |
| Mar 27, 2016 at 19:02 | comment | added | Tim | You have two samples or two models? Those are not the same. | |
| Mar 27, 2016 at 18:58 | comment | added | user46925 | I think this makes perfect sense. I have two GMMs and I want to determine whether they are from different populations or not | |
| Mar 27, 2016 at 18:57 | history | edited | user46925 | CC BY-SA 3.0 |
added 73 characters in body
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| Mar 27, 2016 at 18:57 | comment | added | amoeba | -1 and vote to close as unclear for reasons listed above. | |
| Mar 27, 2016 at 18:53 | comment | added | Tim | What do you mean by "GMM samples"? | |
| Mar 27, 2016 at 18:45 | answer | added | Uri Goren | timeline score: 1 | |
| Mar 27, 2016 at 18:21 | comment | added | user46925 | I have two GMM samples. I want to compare whether they are different or not. | |
| Mar 27, 2016 at 15:25 | comment | added | Danica | What exactly do you mean by this? Do you have two data sets, each with a best-fit GMM, and you want to test whether the generating GMMs are different? Are you just given two sets of GMM parameters and you want to determine if they're "different enough" (in which case we'll need much more info)? | |
| Mar 27, 2016 at 14:26 | history | asked | user46925 | CC BY-SA 3.0 |