Search
Code Directory
 ASP
 ASP.NET
 C/C++
 CFML
 CGI/PERL
 Delphi
 Development
 Flash
 HTML
 Java
 JavaScript
 Pascal
 PHP
 Python
 SQL
 Tools
 Visual Basic & VB.NET
 XML
New Code
Rapid PHP 2018 15.5
IBDAC 6.4
Online Course Booking Script 1.3.3
Database Workbench Pro 5.6.4
Job Portal Script 1.3.2
The C# PDF Library 5.2
PostgreSQL Data Access Components 6.0
Virtual Data Access Components 11.0
HTMLPad 2018 15.5
WeBuilder 2018 15.5
SentiMask SDK Trial 2.0.0
Track Order For Magento 2 1.0.0
Calendar 365 For Dynamics CRM 4.0
Scimbo 1.2
Odoo Furnito Theme 1.0
Top Code
PostgreSQL Data Access Components 4.4
Database Workbench Pro 5.6.4
Availability Booking Calendar PHP 1.0
Online Course Booking Script 3.04
ATN Site Builder 3.0
ATN Resume Finder 2.0
PHP Review Script 1.0
IBDAC 6.4
ICPennyBid Penny Auction Script 4.0
Invoice Manager by PHPJabbers 3.0
The C# PDF Library 1.0
HTMLPad 2018 15.5
Aglowsoft SQL Query Tools 8.2
Classified Ad Lister 1.0
Solid File System OS edition 5.1
Top Rated
VisualNEO Web 2018.12.15
Azizi search engine script PHP 4.1.10
Paste phpSoftPro 1.4.1
Extreme Injector 3.7
Deals and Discounts Website Script 1.0.2
ADO.NET Provider for ExactTarget 1.0
Solid File System OS edition 5.1
Classified Ad Lister 1.0
Aglowsoft SQL Query Tools 8.2
Invoice Manager by PHPJabbers 3.0
ICPennyBid Penny Auction Script 4.0
PHP Review Script 1.0
ATN Resume Finder 2.0
ATN Site Builder 3.0
Availability Booking Calendar PHP 1.0
Multivariate Gaussian Distribution 1.0
File ID: 82947






Multivariate Gaussian Distribution 1.0
Download Multivariate Gaussian Distribution 1.0http://www.mathworks.comReport Error Link
License: Shareware
File Size: 10.0 KB
Downloads: 1
Submit Rating:
Multivariate Gaussian Distribution 1.0 Description
Description: Creates a number of samples from a specified number of dimensions and centers them around a given mean, and within a given covariance range. You might not find it very useful, but hey, I need something to do this so why not.

To use:
You need to generate 1000 samples from a 3 dimensional Gaussian distribution with a mean m = [4,5,6], and with a covariance sigma = [9 0 0;0 9 0;0 0 9].

Command line:
x=mgd(1000,3,m,sigma) or x=mgd(1000,3,m',sigma)
it doesn't matter if the mean is given as a row or column vector

x is a (1000x3) matrix of the where
where each row is the coordinates of that point in 3 space.

License: Shareware

Related: dmgd sigma, doesn, matter, dmgd msigma, Command, Distribution, sigma, Column, Vector, Point

O/S:BSD, Linux, Solaris, Mac OS X

File Size: 10.0 KB

Downloads: 1



More Similar Code

this function plots the 2D multivariate gaussian when the mean and covariance are provided. It does not use for loops.

ex: plot mean=[10;11],cov=[6 0;0 6] 2D multivariate gaussian function

>> mvg([10;11],[6 0;0 6])



MVG is a multivariate Gaussian (normal) random number generator. A user can generate a vector from the multivariate normal distribution of any dimension by specifying a mean vector and symmetric positive-definite covariance matrix. A linear...



Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to achieve stochastic multi-extremum optimization.

Please visit http://iew3.technion.ac.il/CE/ for more informations

i) Please...



Free Split and Merge Expectation-Maximization algorithm for Multivariate Gaussian Mixtures. This algorithm is suitable to estimate mixture parameters and the number of conpounds

Usage
-------

[logl , M , S , P] =...



em_ghmm : Expectation-Maximization algorithm for a HMM with Multivariate Gaussian measurement

Usage
-------
[logl , PI , A , M , S] = em_ghmm(Z , PI0 , A0 , M0 , S0 , [options]);

Inputs
-------

...



Gibbs sampler for sampling from the invariance Normal Inverse Gaussian distribution. (Bayesian scheme of Karlis & Lillestol (2004))



At the moment, the normal inverse Gaussian distribution is not included in the statistics toolbox. This collection of m-files supplements this toolbox with the most important functionalities for the NIG distribution: random numbers, moments, cdf,...



Genereates random number from the closed-skew Gaussian distribution with two different methods:

CSN_mcmc.m
Does mcmc, so each realisation are not completely independent
% Usage: [res, t_wi, t_inv]...



MVNRND2 Random vectors from the multivariate normal distribution.
R = MVNRND2(MU,SIGMA,NUM) returns a NUM-by-D matrix R of multivariate normal random vectors whose mean and covariance matrix match the given input parameters, MU (1-D vector)...



Mex implementation of EM algorithm for multivariate Gaussian mixture. Multiple data/initial parameters are allowed by ND slices definition

em_mvgm : Expectation-Maximization algorithm for Multivariate Gaussian Mixtures

...

User Review for Multivariate Gaussian Distribution
- required fields
     

Please enter text on the image