From 8070dc963753142bb86c4ed698d91fd623ed28e7 Mon Sep 17 00:00:00 2001 From: ziejd2 Date: Thu, 28 Sep 2017 15:04:40 -0500 Subject: BNW using Octave instead of Matlab. This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning. I am calling this BNW_1.02. It can be accessed at: compbio.uthsc.edu/BNW_1.02 --- sourcecodes/bnt-master/nethelp3.3/demgauss.htm | 50 ++++++++++++++++++++++++++ 1 file changed, 50 insertions(+) create mode 100644 sourcecodes/bnt-master/nethelp3.3/demgauss.htm (limited to 'sourcecodes/bnt-master/nethelp3.3/demgauss.htm') diff --git a/sourcecodes/bnt-master/nethelp3.3/demgauss.htm b/sourcecodes/bnt-master/nethelp3.3/demgauss.htm new file mode 100644 index 00000000..4ddc8059 --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/demgauss.htm @@ -0,0 +1,50 @@ + + + +Netlab Reference Manual demgauss + + + +

demgauss +

+

+Purpose +

+Demonstrate sampling from Gaussian distributions. + +

+Synopsis +

+
+demgauss
+
+ + +

+Description +

+ +

demgauss provides a simple illustration of the generation of +data from Gaussian distributions. It first samples from a +one-dimensional distribution using randn, and then plots a +normalized histogram estimate of the distribution using histp +together with the true density calculated using gauss. + +

demgauss then demonstrates sampling from a Gaussian distribution +in two dimensions. It creates a mean vector and a covariance matrix, +and then plots contours of constant density using the function +gauss. A sample of points drawn from this distribution, obtained +using the function gsamp, is then superimposed on the contours. + +

+See Also +

+gauss, gsamp, histp
+Pages: +Index +
+

Copyright (c) Ian T Nabney (1996-9) + + + + \ No newline at end of file -- cgit 1.4.1