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GPU computing with MATLAB for hierarchical Bayesian mixture model

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MTRand.h
MTRand.h
 
 
README.md
README.md
 
 
README.md~
README.md~
 
 
SampleZ5.m
SampleZ5.m
 
 
gnpdf.cu
gnpdf.cu
 
 
gnpdf.mexa64
gnpdf.mexa64
 
 
gnpdf.o
gnpdf.o
 
 
initG_2Ind.m
initG_2Ind.m
 
 
iter2G_2Ind.m
iter2G_2Ind.m
 
 
iter2G_2Ind_init.m
iter2G_2Ind_init.m
 
 
master2_2Ind.m
master2_2Ind.m
 
 
mvpdf_kernel.cu
mvpdf_kernel.cu
 
 
npdf.cu
npdf.cu
 
 
npdf.h
npdf.h
 
 
nvmex2010a.m
nvmex2010a.m
 
 
nvmex2010b.m
nvmex2010b.m
 
 
test.m
test.m
 
 
updateUW_2Ind.m
updateUW_2Ind.m
 
 
updateUW_2IndG.m
updateUW_2IndG.m
 
 
updateVWWG.m
updateVWWG.m
 
 
updateVWWG_2Ind.m
updateVWWG_2Ind.m
 
 
updateVWW_2IndG.m
updateVWW_2IndG.m
 
 
updateVkWWk1_2Ind.m
updateVkWWk1_2Ind.m
 
 
updateVkWWk1_2IndG.m
updateVkWWk1_2IndG.m
 
 
updateZ1Z2_2Ind.m
updateZ1Z2_2Ind.m
 
 
updateZ1Z2_2IndG.m
updateZ1Z2_2IndG.m
 
 
updatemu1Sigma1_2Ind.m
updatemu1Sigma1_2Ind.m
 
 
updatemu1Sigma1_2IndG.m
updatemu1Sigma1_2IndG.m
 
 
updatemu2Sigma2_2Ind.m
updatemu2Sigma2_2Ind.m
 
 
updatemu2Sigma2_2IndG.m
updatemu2Sigma2_2IndG.m
 
 

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HDP_GPU

GPU computing with MATLAB for hierarchical Bayesian mixture model

Description

  1. The main code is master2_2Ind.m

  2. initG_2Ind.m: to initialize parameters

  3. iter2G_2Ind_init.m: to run the MCMC assuming Gibbs sampling

  4. iter2G_2Ind.m : to run the customized MCMC

  5. The paper associated with the code is located here

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GPU computing with MATLAB for hierarchical Bayesian mixture model

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