Gaussian Distribution Matlab

EM estimation of parameters of bi variate NIG distribution.The test file:1. Simulate biNIG sample with use of randraw.m (http://www.mathworks.com/matlabcentral/fileexchange/7309)or invgrnd.m (http://www.mathworks.com/matlabcentral/fileexchange/10934) .2. Calls EMBIVNIG.m (values of starting...

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...

Generates complex generalized gaussian random variables with augmentedcovariance matrix Ta = [2*s 0; 0 2*s];and shape parameter c, where c = 1 corresponds to the Gaussian case.x = cggd_rand(c,s,N) generates a vector 1xN of complex samples with a circulargaussian distribution with shape parameter...


Platforms: Matlab

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, pdf and parameters by moment fit.


Platforms: Matlab

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


Platforms: Matlab

Genereates random number from the closed-skew Gaussian distribution with two different methods:CSN_mcmc.mDoes mcmc, so each realisation are not completely independent% Usage: [res, t_wi, t_inv] =CSN_mcmc(Mu,Sigma,Gamma,Nu,Delta,num,burn)%% Mu,Sigma,Gamma,Nu,Delta: parameters in CSN% num: number...


Platforms: Matlab

Create a non isotropic 3D Gaussian PSFThe program takes three different standard deviation as input and creates a 3D non isotropic Gaussian distribution realted to it.Works faster with Statistical toolbox, but works fine without.


Platforms: Matlab

I wrote this code because I wanted to incorporate a new distribution in the model, not availiable in Matlab or OxMetrics. In this sample the input is a return series, it uses a Garch(1,1) model with a constant in mean in the returns, and calculates the maximum likelihood estimator (mle) for the...


Platforms: Matlab

gaussianPlume Steady-state gaussian plume distribution model gaussianPlume models the dispersion of a continuous point source, i.e. plume, in various conditions and terrains. The output of gaussianPlume is a 3-dimensional matrix containing the concentrations of the emitted substance over a field...


Platforms: Matlab

Permutation test of the null hypothesis that a set of data was sampled from a symmetric distribution with a particular mean. The test is based on a t-statistic and can be applied to situations in which a one sample or paired sample/repeated measures t-test is appropriate. Note, that this test is...


Platforms: Matlab

SmartFolio is a state-of-the-art asset management software for investment professionals and private investors. It contains advanced portfolio optimization and risk management techniques, based on the latest achievements in portfolio theory. The software combines highly advanced and innovative...


Platforms: Windows

Randommite is a powerful data set generator. Within moments, it enables you to generate large amounts of realistic user-defined data with complete control over the type, range, amount and format. Randommite's power and flexibility saves time and money; it pays for itself on the very first day of...


Platforms: Mac

FRETSCAL screens images of cells that contain CFP and YFP tagged proteins in order to determine the extent of energy transfer(FRET)between the two fluorophores. The graphical user interface (GUI) of FRETSCAL allows the user to specify criteria that are used to identify areas of interest (AOIs) in...


Platforms: Matlab

dysii is a C++ library provides a collection of classes useful for machine learning applications. Features are added to the library as needed, so that it does lack some completeness. What is included, however, is well documented and tested, and may be considered fairly sound for research...


Platforms: *nix

The file contains a 2 x 495 matrix that can be read using the MatLab "csvread" command. Requirements: - MATLAB 7.8 or higher


Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

Matlab files include Gaussian numerical quadrature, Newton's method for finding roots, finite element method for 1D wave equation, and pattern formation (KPP anda system of two coupled PDEs).


Platforms: Matlab

At the moment, the Normal Inverse Gaussian (NIG) 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, pdf and parameters by moment fit. This...


Platforms: Matlab

Matlab Toolbox to process video files, which consists on a set of classes for reading, writing, correcting light changes and generating gaussian pyramids in real time. This toolbox is designed for Windows x64, Max OS X x64 and Linux x64. Through to use of Ffmpeg, it can reproduce and create...


Platforms: Windows, Mac, Linux

A recursive implementation of the Gaussian filter. This implementation yields an infinite impulse response filter that has 6 MADDs per dimension independent of the value of sigma in the Gaussian kernel.Recursive Gabor filtering for 1D and 2D signals. For more information please...


Platforms: Matlab

GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Expectation-Maximization (EM) iterative learning...


Platforms: Matlab