# Alexx Hardt

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 May20 asked Are there applications for differential equations in statistics? Mar28 awarded Popular Question Mar13 comment (When) Does simulating a larger sample from a small sample yield better results? Thanks for your response! So to sum up, the answer is "No, it never makes sense"? Mar13 asked (When) Does simulating a larger sample from a small sample yield better results? Nov13 comment How do I apply the method of moments for estimating parameters in a sum-relationship? Sorry, my partner is the expert on the deconvolution part. The R package "deamer" has a deconvolution function which takes a sample of U and a sample of C and produces a density for S. The function calls in his code look like deamerSE2(U.sample, error=C.sample, from=from, to=to, grid.length=100000). From that I assumed we don't need distribution assumptions. Nov13 revised How do I apply the method of moments for estimating parameters in a sum-relationship? added 408 characters in body Nov13 asked How do I apply the method of moments for estimating parameters in a sum-relationship? Oct8 accepted Independence in a sum relationship Sep30 asked Independence in a sum relationship Aug22 comment In a neural network with N covariates, are >N hidden units useless? Thanks a lot! What does "MLP" stand for? Aug22 accepted In a neural network with N covariates, are >N hidden units useless? Aug22 asked In a neural network with N covariates, are >N hidden units useless? Aug5 accepted How could I extract the distribution of one RV when given a set of sums of two RVs? Aug5 comment How could I extract the distribution of one RV when given a set of sums of two RVs? Oops, of course. But the important thing is that f(x)*g(y|x) will be h(x,y), right? Just for independent X and Y, g(y|x) == g(y). Aug5 comment How could I extract the distribution of one RV when given a set of sums of two RVs? So your g(y) would become a g(y|x), which is independent from f(x), right? Aug5 awarded Commentator Aug5 comment How could I extract the distribution of one RV when given a set of sums of two RVs? We have around 3600 samples from H and another 3600 samples from f. We could estimate those densities with the samples - would that suffice? However, I'm not sure if X and Y are independent. They are two different kinds of time measured for one person. I suspect those are dependent. Would there be a way out of this? Aug5 asked How could I extract the distribution of one RV when given a set of sums of two RVs? Jul30 comment When are two normally distributed random variables jointly bivariate normal? cardinal: Thanks for your answer. How would I show that every linear combination is normally distributed? Would I calculate the density of $a + bX + cY$? Jul30 comment When are two normally distributed random variables jointly bivariate normal? Dilip, I didn't calculate $a$, and there normally is more information. I just made up a few quick numbers :)