9 projects for "matlab linux" with 2 filters applied:

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  • 1
    STK

    STK

    a Small (Matlab/Octave) Toolbox for Kriging

    The STK is a (not so) Small Toolbox for Kriging. Its primary focus in on the interpolation / regression technique known as kriging, which is very closely related to Splines and Radial Basis Functions, and can be interpreted as a non-parametric Bayesian method using a Gaussian Process (GP) prior. The STK also provides tools for the sequential and non-sequential design of experiments. Even though it is, currently, mostly geared towards the Design and Analysis of Computer Experiments (DACE),...
    Downloads: 7 This Week
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  • 2

    A2RMS Algorithm

    Implementation of the A2RMS Algorithm in Matlab

    Implementation of the A2RMS Algorithm for univariate densities defined for real values.
    Downloads: 0 This Week
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  • 3
    A Matlab software routine to perform Principal Component Analysis using Covariance, Correlation or Comedian as the criterion. Though, initially developed for experiments related to fretting wear but can be effectively used to interpret experimental data from any field. The attached files contain source code as well as a sample MATLAB (.mat) data file of 13 variables. It could be replaced to the data file of your choice. The code is open source but you are requested to give credits if used....
    Downloads: 0 This Week
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  • 4

    Tail Probability Calculator

    Tail probability calculator for continuous random variable

    A suite of Matlab functions that calculate the tail probability / cdf / pdf / quantile of linear combination of random variables in one of the following classes: (1) symmetric random variables with support on the real axis (normal, Student's t, uniform and triangular); (2) random variables with support on the positive real axis (chi-squared and log-Lambert W x chi-squared distributions; inverse gamma distribution is temporarily disabled due to numerical issues).
    Downloads: 0 This Week
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    B2i offers full-service IR websites, widgets and plugins

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  • 5

    abc-sde

    approximate Bayesian computation for stochastic differential equations

    A MATLAB toolbox for approximate Bayesian computation (ABC) in stochastic differential equation models. It performs approximate Bayesian computation for stochastic models having latent dynamics defined by stochastic differential equations (SDEs) and not limited to the "state-space" modelling framework. Both one- and multi-dimensional SDE systems are supported and partially observed systems are easily accommodated. Variance components for the "measurement error" affecting the...
    Downloads: 0 This Week
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  • 6
    Robust Correlation Toolbox

    Robust Correlation Toolbox

    Free Matlab toolbox to compute robust correlations

    The Robust Correlation Toolbox is a free collection of Matlab functions allowing to visualize data in univariate and bivariate space, check assumptions of normality and homoscedasticity and compute Pearson's and Spearman's, percentage bend, and skipped correlations with bootstrapped confidence intervals - see http://www.frontiersin.org/Quantitative_Psychology_and_Measurement/10.3389/fpsyg.2012.00606/full -- code moved to https://github.com/CPernet/robustcorrtool
    Downloads: 0 This Week
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  • 7
    A Matlab toolbox for interfacing with the pure JAVA numerical library Snifflib. This toolbox provides convenience m-files for interoperability with Snifflib from within an active Matlab session running a JAVA virtual machine.
    Downloads: 0 This Week
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  • 8
    Provides an API, which enables the Matlab or Octave user (and developer) to incorporate Space Weather data and metadata resources from the Space Physics Interactive Data Resource (SPIDR) directly into an Matlab/Octave application. Examples included.
    Downloads: 0 This Week
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  • 9
    A MATLAB package to simulate sample paths of the solution of a Itô or Stratonovich stochastic differential equation (SDE), compute statistics and estimate the parameters from data. A note of caution: SDE Toolbox is no more developed but it's still downloadable. Its inferential capabilities can be considered surpassed (at best). Actually the parameter estimation methods were already far from the state-of-art when the project began in 2007 (!). The considered implemented parametric and...
    Downloads: 0 This Week
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