The problem with using Blog is that it is meant to be a standalone
simulation environment and we just need two (one really) of its
multitude of sampling classes. I also have not been able to compile it
into a jar file, nor have I been able to find one. It does not seem to
build on my Mac. Uncommons math already has Gaussian; has some good
random number generators; and I just need to figure out how to sample
from a Beta distribution with it. The implementation seems simple
enough: Beta(a, b) = Gam(1, a)/(Gam(1, a)*Gam(1, b))  but I don't fully
understand what I'm doing, yet.
Another alternative suggested by Ted is based upon commons math, but it
requires some of Ted's personal extensions to support Beta.
Jeff
Grant Ingersoll wrote:
> Are they in the Maven repo? If they are, then we can just add the
> dependency that way.
> On Mar 3, 2009, at 6:42 PM, Jeff Eastman wrote:
>
>> Hi Ted,
>>
>> I'm still trying to resolve two external dependencies on the Blog
>> package to get moving again on DP Clustering:
>>
>> import blog.distrib.Beta;
>> import blog.distrib.UnivarGaussian;
>>
>> I notice we already have uncommons math in trunk and so rNorm should
>> be trivial. Can you suggest how to implement rBeta with it? From the
>> API, it is not obvious to me.
>>
>> Jeff
>
>
>
>
