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Jun
28
comment Laplace transform of convolution with modified limits
@BabakSorouh, as you may guess, I have a certain process where I am trying to calculate some quantity along an axis, the $f(x)$ is an external component and $y(z)g(x-z)$ are local interactions. The applications are related to my research, but it could occur anywhere from EM fields, heat conduction, or chemical and biological processes.
Aug
19
comment Number of factors less than a number
@Andre, yes of course. Thanks.
Aug
19
comment Number of factors less than a number
@Andre, why is it $2a_i$ instead of $a_i$?
Aug
19
comment Number of factors less than a number
@Artem, do you want to write that up as a an answer?
Aug
19
comment Number of factors less than a number
@Robert, anon is right, I want the number of factors (i.e., divisors) of $n^2$ that are less than $n$.
Aug
19
comment Probability density in kNN algorithm
Might go better in stats.stackexchange.com?
Aug
2
comment Probabilistic ordering
I understand that the 3 parameters are insufficient, I just want to have parameters to characterize these orderings, even if they are 5. But is there a way to do this other than just write the different probabilities for all the cases separately?
Apr
4
comment Is there an analytic approximation to the minimum function?
The generalized mean, and softmax are probably something similar to what I am looking for, since this is for an applied work (modeling), and I wanted something that is hopefully not an eyesore(?) and can be extended to more than two arguments.
Mar
1
comment Efficient sampling of a mixture model
@RandomGuy, take a look at this handout: web.as.uky.edu/statistics/users/viele/sta695s02/rejimp/…
Feb
21
comment Efficient sampling of a mixture model
@RandomGuy, I have corrected my answer, hopefully the rejection sampling article should be clear.
Feb
21
comment Efficient sampling of a mixture model
@mjqxxxx, We need to have $2f-g \ge 0 $. Your example doesn't satisfy that.
Feb
20
comment Efficient sampling of a mixture model
Integrating both sides, I think you need $ \sum_i w_i - \sum_j w_j = 1$. But this doesn't guarantee that total $f_X(x)>0 \forall x$. We'll just assumethat this is true.
Feb
20
comment Efficient sampling of a mixture model
In the standard model, $\sum_i w_i = 1$, and $\int f_i(x) dx =1 \forall i$. What is the corresponding normalization in your model?