bnp

Some older Bayesian nonparametrics research.
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commit dd80190895cd11da9b0a0d7ea4a836e7d4c89772
parent ca64fcd9ddb108ce2dc849d1d84a47bb30fb7921
Author: Jared Tobin <jared@jtobin.ca>
Date:   Thu, 17 Mar 2016 09:39:32 +1300

Use four clusters for 1d collapsed example.

Diffstat:
Mfinite-gaussian-mixture/src/sim_fmm_1d_conditional_collapsed.r | 3++-
1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/finite-gaussian-mixture/src/sim_fmm_1d_conditional_collapsed.r b/finite-gaussian-mixture/src/sim_fmm_1d_conditional_collapsed.r @@ -7,7 +7,7 @@ source('fmm_multivariate_conditional_collapsed.r') dimension = 1 config = list( - k = 3 + k = 4 , m = dimension , a = 1 , l = rep(0, dimension) @@ -22,6 +22,7 @@ set.seed(222) d = list( as.matrix(replicate(100, rnorm(config$m, 5))) , as.matrix(replicate(100, rnorm(config$m, -5))) + , as.matrix(replicate(100, rnorm(config$m, 10))) , as.matrix(replicate(200, rnorm(config$m)))) dn = lapply(d, function(j) { data.frame(x = j) })