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updated 21 days ago

Metropolis Hastings by Saad Jbabdi

Simple but powerful implementation of the MH algorithm (monte carlo markov ch..., metropolis hastings, bayesian)

mh(varargin)

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updated 1 month ago

Variational Bayesian Canonical Correlation Analysis by Makoto Takemiya

This package provides a Matlab (object-oriented) implementation of Bayesian CCA. (bayesian, bcca, cca)

BCCApredOneWay(x,tr_struct,pr_parm)

BCCAtrainMain(x1,x2,parm)

[pr_struct,pr] =BCCApredBoth(x1,x2,tr_struct,pr_parm)

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updated 8 months ago

NIST Statistical Reference Datasets for Nonlinear Regression by Adam Gripton

MAT file of all the benchmark Nonlinear Regression problems from the NIST StRD website (nonlinear, regression, statistics)

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updated 1 year ago

Variational Bayesian Inference for Gaussian Mixture Model by Mo Chen

Variational Bayes method (mean field) for GMM can auto determine the number of components (bayesian, gaussian, variational)

logmvgamma(x,d)

logsumexp(x, dim)

spread(X, label)

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updated 2 years ago

BMS toolbox for Matlab: Bayesian Model Averaging (BMA) by stz Zeugner

Do Bayesian Model Averaging (BMA) via a hidden instance of R (Windows only). (bayesian, r, statconn)

BMStoolboxPath()

bms(X_data, burn, iter, nmodel, mcmc, g, mprior, mprior_siz...

bmsGUI(varargin)

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updated almost 4 years ago

Differential Evolution Monte Carlo sampling by Corey Yanofsky

easy Bayesian computation for real parameter spaces (markov chain monte ca..., statistics, bayesian)

DEMC_sample(logtarget, n, states, blockindex, ...

demo_DEMC

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updated 4 years ago

Conditional Density Propagation Tracker (1 Dimenstional) by Prakash Manandhar

Tracks parameter in clutter using Isard and Blake (1998)'s ConDensation Algorithm. (particle filter, tracking, statistics)

IterateCondensation(t)

Main.m

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updated 9 years ago

Accurate Confidence Intervals by Tim Ross

Computes especially accurate confidence intervals for proportions, rates, and their differences. (statistics, probability, confidence interval)

binopdf_01ok(x,n,p)

binopdf_of_p(p, x, n)

get_ci_cs1(x,n,alpha)

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