Hw4 1.1

[Jason]

Does it mean that we should design a general exponential family distribution that can model all the three different distributions? thank you.

Jason

[Alex Smola]

yes. you should design such an exponential family. i already gave you the sufficient statistic, so this should be a relatively simple thing to do.

On Thu, Mar 28, 2013 at 2:36 PM, Jason <ice.sag...@gmail.com> wrote:

Does it mean that we should design a general exponential family distribution that can model all the three different distributions? thank you.

Jason

--
http://alex.smola.org/teaching/cmu2013-10-701 (course website)
http://www.youtube.com/playlist?list=PLZSO_6-bSqHQmMKwWVvYwKreGu4b4kMU9 (YouTube playlist)
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[Jason]

Thank you so much.

On Thursday, March 28, 2013 2:37:55 PM UTC-4, Alex Smola wrote:

yes. you should design such an exponential family. i already gave you the sufficient statistic, so this should be a relatively simple thing to do.

On Thu, Mar 28, 2013 at 2:36 PM, Jason <ice.sag...@gmail.com> wrote:

Does it mean that we should design a general exponential family distribution that can model all the three different distributions? thank you.

Jason

--
http://alex.smola.org/teaching/cmu2013-10-701 (course website)
http://www.youtube.com/playlist?list=PLZSO_6-bSqHQmMKwWVvYwKreGu4b4kMU9 (YouTube playlist)
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[milad memarzadeh]

I'm a little confused how we can model the bimodal distribution only using [x x^2]? Can we add components like x^3 to our sufficient statistics? As far as I know it's not possible to model bimodal distribution using only the provided sufficient statistics? Can you give us any hint on that?

Thanks,

Milad

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--
Milad Memarzadeh, M.Sc.
Doctoral Candidate, Advanced Infrastructure Systems
Department of Civil and Environmental Engineering
Carnegie Mellon University

[GOH Chun Fan]

The given statistic suggests normal distribution. Does this mean we have to use only normal distribution for all three scenarios? Or can we use other distribution by modifying the statistics? 

Thank you. 

Chun Fan

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[Yitong Zhou]

I am confused too, I think if only use x x^2 to model the bimodal distribution, you can only get a convex region, but cannot get two mountains look like sin(x)