Looks tough!
My current state is that I am clueless and have no idea what to do with it. Could somebody provide me some knowledge of how to start with this?
Last edited by MegaMan; 12-08-2011 at 06:37 PM.
Looks tough!
Last edited by ledzep; 12-08-2011 at 06:41 PM.
Oh Thou Perelman! Poincare's was for you and Riemann's is for me.
It's not too bad actually. But it would be nice to see some work first...
Well I am trying to read up on it a bit but it's difficult..
Well tell us what you do know about for this problem. For instance what do you know about getting random samples from arbitrary distributions? Do you know what a Markov Chain random sampler is or how to program one? If you had a random sample from that distribution would you know how to compute the monte carlo estimate of the integral?
I have 0 knowledge at the moment, going to do some more reading. If there is anything that you can help with (hints etc), would appreciate this.
It's hard to give hints when we don't know which part you're stuck on. What exactly are you trying to do at the moment?
Could you tell me for example, what the easiest approach would be for this density function?
What different ways do you know to obtain a sample from a distribution?
Well I know how to do rejection sampling I think, but can I sample from the gamma part of it only and ignore the other part of the function?
What do you mean? Use the gamma proportional to x^4*exp(-3x) as your proposed density?
Yes, where alpha = 5, and beta = 3, is that plausible?
As long as you make sure that the density of that gamma is always greater than the density you're trying to sample from then you're ok. You'll need to prove to yourself at least that this is the case. (But you might even want to multiply the desired density by a constant so that you aren't always rejecting your proposed point).
I don't really understand, do I need to treat the other part of the density function as a uniform?
I was saying that the density of that gamma IS the density to sample from.. i.e. proposal density
I would choose a density function which is always greater than the density you're trying to sample from. The term exp(-3x)*(1- exp(-2x))^7 is always smaller than 1. So, you can take g(x) = x^4. I am not sure. What do you think, Dason?
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