No BSD License
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DGAnyMarginal(pmfs,Sigma,supp...
[samples,gammas,Lambda,joints2D,hists] = DGAnyMarginal(pmfs,Sigma,supports,Nsamples)
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EstimateDiscreteJoint(A)
[B,ranges] = EstimateDiscreteJoint(A)
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PoissonMarginals(means,acc)
% [pmfs,supports] = PoissonMarginals(means,acc)
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SampleDGAnyMarginal(gammas,La...
[samples,hists]=SampleDGAnyMarginal(gammas,Lambda,supports,Nsamples)
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[gammas,Lambda,joints2D]=Find...
% [gammas,Lambda,joints2D] = FindDGAnyMarginal(pmfs,Sigma,supports)
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[samples,gammas,Lambda,joints...
[samples,gammas,Lambda,joints2D,cmfs,hists] = DGPoisson(means,Sigma,Nsamples,acc)
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[y]=bivnor(a,b,rho)
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binBinaryToDec(bin)
dec = binBinaryToDec(bin)
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binHist(S)
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binHistIndep(mu)
hc = binHistIndep(mu)
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countElem(x,sv,ev)
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findLatentGaussian(m,c,acc)
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sampleCovPoisson(m,C,nSamples...
x = sampleCovPoisson(m,C,nSamples,err)
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sampleDichGauss01(mu,Sigma,ns...
[s gamma rho] = sampleDichGauss01(mu,Sigma,nsamples,already_computed,acc)
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vec(v)
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demo.m
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setPath.m
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View all files
from
Sampling from multivariate correlated binary and poisson random variables
by Philipp Berens
These Matlab functions can be used to generate multivariate correlated binary variables, and correl
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| All files for Sampling from multivariate correlated binary and poisson random variables |
/demo.m
/interface/DGAnyMarginal.m
/interface/DGPoisson.m
/interface/sampleCovPoisson.m
/interface/sampleDichGauss01.m
/lib/EstimateDiscreteJoint.m
/lib/FindDGAnyMarginal.m
/lib/PoissonMarginals.m
/lib/SampleDGAnyMarginal.m
/lib/binBinaryToDec.m
/lib/binHist.m
/lib/binHistIndep.m
/lib/bivnor.c
/lib/bivnor.dll
/lib/bivnor.m
/lib/bivnor.mexa64
/lib/bivnor.mexglx
/lib/bivnor.mexmaci
/lib/countElem.m
/lib/findLatentGaussian.m
/lib/vec.m
/readme.pdf
/setPath.m
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