bnp

Some older Bayesian nonparametrics research.
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commit ca64fcd9ddb108ce2dc849d1d84a47bb30fb7921
parent 1e2922fa9d304cacee179b2385fc3d3bf3aca0d4
Author: Jared Tobin <jared@jtobin.ca>
Date:   Thu, 17 Mar 2016 09:22:48 +1300

Add collapsed PGM viz.

Diffstat:
Mfinite-gaussian-mixture/doc/images/fmm.png | 0
Mfinite-gaussian-mixture/doc/images/fmm.tex | 16+++++++++-------
Afinite-gaussian-mixture/doc/images/fmm_collapsed.png | 0
Afinite-gaussian-mixture/doc/images/fmm_collapsed.tex | 31+++++++++++++++++++++++++++++++
Mfinite-gaussian-mixture/src/fmm_multivariate_conditional_collapsed.r | 2+-
5 files changed, 41 insertions(+), 8 deletions(-)

diff --git a/finite-gaussian-mixture/doc/images/fmm.png b/finite-gaussian-mixture/doc/images/fmm.png Binary files differ. diff --git a/finite-gaussian-mixture/doc/images/fmm.tex b/finite-gaussian-mixture/doc/images/fmm.tex @@ -7,24 +7,26 @@ \begin{tikzpicture} \tikzstyle{random}=[circle, minimum size = 10mm, thick, draw = black!80, node distance = 16mm] + \tikzstyle{observed}=[ + circle, minimum size = 10mm, thick + , draw = black!80, fill = black!10 + , node distance = 16mm + ] \tikzstyle{connect}=[-latex, thick] \tikzstyle{plate}=[rectangle, draw = black!100] \node[random] (p) { $\pi$ }; \node[random] (z) [below of = p] { $z_{i}$ }; - \node[random] (y) [below of = z] { $y_{i}$ }; - \node[random] (mu) [below of = y] { $\mu_{k}$ }; - \node[random] (s) [right of = mu] { $s_{k}$ }; + \node[observed] (y) [below of = z] { $y_{i}$ }; + \node[random] (theta) [below of = y] { $\theta_{k}$ }; \path (p) edge [connect] (z) (z) edge [connect] (y); - \path (mu) edge [connect] (y); - - \path (s) edge [connect] (y); + \path (theta) edge [connect] (y); \node[plate, inner sep = 1.0mm, fit = (z) (y)] { }; - \node[plate, inner sep = 1.0mm, fit = (mu) (s)] { }; + \node[plate, inner sep = 1.0mm, fit = (theta)] { }; \end{tikzpicture} diff --git a/finite-gaussian-mixture/doc/images/fmm_collapsed.png b/finite-gaussian-mixture/doc/images/fmm_collapsed.png Binary files differ. diff --git a/finite-gaussian-mixture/doc/images/fmm_collapsed.tex b/finite-gaussian-mixture/doc/images/fmm_collapsed.tex @@ -0,0 +1,31 @@ +\documentclass{standalone} +\usepackage{tikz} +\usetikzlibrary{positioning} +\usetikzlibrary{fit} + +\begin{document} + +\begin{tikzpicture} + \tikzstyle{random}=[ + circle, minimum size = 10mm, thick + , draw = black!80 + , node distance = 16mm + ] + \tikzstyle{observed}=[ + circle, minimum size = 10mm, thick + , draw = black!80, fill = black!10 + , node distance = 16mm + ] + \tikzstyle{connect}=[-latex, thick] + \tikzstyle{plate}=[rectangle, draw = black!100] + + \node[random] (z) { $z_{i}$ }; + \node[observed] (y) [below of = z] { $y_{i}$ }; + + \path (z) edge [connect] (y); + + \node[plate, inner sep = 1.0mm, fit = (z) (y)] { }; + +\end{tikzpicture} + +\end{document} diff --git a/finite-gaussian-mixture/src/fmm_multivariate_conditional_collapsed.r b/finite-gaussian-mixture/src/fmm_multivariate_conditional_collapsed.r @@ -50,7 +50,7 @@ conditional_label_model = function(y, k, z, a, l, r, b, w) { score_by_cluster = function(j) { sufficient_stats = if (j == old_label) { - cluster = y_censored[which(z_censored == j), ] + cluster = y_censored[which(z_censored == j), ] sufficient_statistics[[j]] <<- cluster_statistics(cluster, l, b, w) sufficient_statistics[[j]] } else {