Timeline for Confusion in modelling finite mixture model
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jan 10, 2019 at 12:54 | comment | added | Tommaso Bendinelli | Also do we know the distribution $F(\theta_{z_i})$? | |
| Jan 10, 2019 at 12:49 | comment | added | Tommaso Bendinelli | I don't get both your point, (i) where have you seen $X|Z = Z|X$, (ii) What you "by is indexed". | |
| Jan 10, 2019 at 12:42 | comment | added | Tommaso Bendinelli | If $ X|Z=k\sim p(x|\theta_k)$ and $X|Z\sim p(x|\theta_Z)$ are identical, because both represent the random varialbe $X|Z$ why in one case $\theta$ is $\theta_k$ and in the other $\theta_z$ ? | |
| Jan 10, 2019 at 12:35 | history | edited | Xi'an | CC BY-SA 4.0 |
added 102 characters in body
|
| Jan 10, 2019 at 12:23 | comment | added | Tommaso Bendinelli | Thank you! And what is the difference between $\boldsymbol\theta_k$ and $\boldsymbol\theta_{z_i}$? And what is meant by "We can write > $p(x_i|\boldsymbol\theta_k)$ as $\boldsymbol{x}_i \sim F(\boldsymbol\theta_{z_i})$ where F is the observation distribution"? | |
| Jan 10, 2019 at 12:19 | history | answered | Xi'an | CC BY-SA 4.0 |