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cc2709

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I'm trying to understand the proof of convergence for online bagging/bootstrap, in the Oza's paper an expression says:

**θ ~ [itex]\sum[/itex][itex]^{N}_{t=0}[/itex]P(Poisson(N)=t)Multinomial(t,1/N)**

θ may represents a vector with each element being a real value;

Poisson() is the Poisson distribution;

t is certain real value;

Multinomial() is the multinomial distribution...

**But I am totally lost when put all these stuff together**

what's that mean by adding up the multiplication of a probability with a distribution?

I don't have a solid background on probability and I've been tortured by these for a while...hopefully I can get some suggestion...

Thanks a lot in advance!