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updated 2 days ago

GPstuff by Aki Vehtari

Gaussian process models for Bayesian analysis (bayesian, gaussian processes, machine learning)

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updated 10 days ago

Pattern Recognition Toolbox by Peter

Peter (view profile)

Free pattern recognition toolbox for MATLAB (machine learning, pattern recognition, svm)

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updated 16 days ago

General Linear Regression Model by Shoaibur Rahman

Generalized form of single and multivariate regression model (linear and non-linear) (regression, general regression, general linear model)

genRegModel(x,y,deg,setb,bvalue)

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updated 19 days ago

Loess filtering - C++ implementation by Bart Vermeulen

Performs a locally weighted robust regression on multidimensional scattered data (regression, multidimensional, multithreaded)

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updated 21 days ago

Deming regression by Peter Nagy

Deming regression with the intercept constrained to zero (regression, deming regression, intercept)

demingRegression(x,y,constrainTo0,lambda)

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updated 29 days ago

Loess - Native matlab implementation by Bart Vermeulen

Robust locally weighted regression (filtering, regression, multithreaded)

Loess

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updated 1 month ago

PLSPM Toolbox by Massimo Aria

Structural Equation Model through Partial Least Squares approach (structural equation m..., partial least squares, path modeling)

Mobile Customer Satisfaction Model

DB_gui(DB,xy)

DBcreator( smlinks,nLVs )

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updated 2 months ago

Linear regression using Gradient Descent by Charan Puladas

This a basic implementation of linear regression using gradient descent algorithm. (signal processing, machine learning, regression)

linear2var_reg.m

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updated 2 months ago

Kernel Adaptive Filtering Toolbox by Steven Van Vaerenbergh

A Matlab benchmarking toolbox for kernel adaptive filtering (kernel methods, nonlinear filtering, adaptive filtering)

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updated 2 months ago

okomarov/clusterreg by Oleg Komarov

Oleg Komarov (view profile)

OLS regression with clustered standard errors (regression, statistics, ols)

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updated 3 months ago

FastRidge - fast ridge regression by Statovic

Statovic (view profile)

Implementation of fast ridge regression tool that works efficiently for the case that p > n (statistics, regression, machine learning)

displaypath(b, DOF, score)

fastridge(X, y, varargin)

fastridge_example.m

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updated 3 months ago

Multivariate Polynomial Regression by Ahmet Cecen

Performs polynomial regression on multidimensional data. (polynomial regression, statistics, multivariable regress...)

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updated 4 months ago

Outlier-robust extreme learning machine for regression problems by Kai Zhang

An extension of extreme learning machine (ELM). (noise, signal processing, mathematics)

ALM_Solve_ORELM(A, b, C, maxIter)

elm_initialization(nn)

elm_predict(TP,TT,InputWeight, BiasofHiddenNeurons, Outpu...

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updated 5 months ago

Theil-Sen Robust Linear Regression by Zachary Danziger

Quickly perform linear regression that is robust to outliers. (signal processing, regression, outlier)

TheilSen.m

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updated 5 months ago

Reduced Rank Regression by Chris McComb

Multivariate regression via rank reduction. (regression, multivariate, rank reduction)

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updated 5 months ago

Radial Basis Function Neural Networks (with parameter selection using K-means) by Alireza

Alireza (view profile)

RBF Neural Networks (center and distribution of activation functions are selected using K-means) (neural networks, radial basis function, rbfnn)

Pts

RBFKernel(F,MU,SIGMA,N,k)

rbfn_test(F, W, K, MU, SIGMA)

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updated 6 months ago

MATLABによるデータ解析の基礎 (Introduction to Data Analysis) by Eiji Ota

Eiji Ota (view profile)

Demo files and data for a Japanese web seminar "Introduction to Data Analysis" (data analysis, regression, japanese)

createfigure.m

createFit.m

importfile.m

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updated 6 months ago

Bayesian linear regression with the horseshoe hierarchy by Statovic

Statovic (view profile)

This file implements Bayesian linear regression with the horseshoe hierarchy. (statistics, regression)

bhs.m

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updated 6 months ago

Full-rank Partial Least squares and Partial Least squares regression by Filippo Amato

Multivariate data analysis - modeling (statistics, modeling, matrix)

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updated 6 months ago

Collinearity diagnostics (variance decomposition proportions, condition index, VIF, tableplot) by Brian Lau

Matlab code for diagnosing collinearity in a regression design matrix (regression, linear)

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updated 6 months ago

BRS_Area_RiseFall_fnc(N,ECG_Removed) by Linford Briant

Calculates BRS for rising and falling DBP (measurement, data exploration, regression)

BRS_Area_RiseFall_fnc(N,ECG_Removed)

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updated 6 months ago

BRS_Area_fnc(N,ECG_Removed) by Linford Briant

Calculating BRS based on mSNA burst area (measurement, regression, data exploration)

BRS_Area_fnc(N,ECG_Removed)

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updated 6 months ago

Generic function and example code for performing LASSO on GLM by Dr. Soumya Banerjee

Generic function and example code for performing LASSO on GLM and using it for prediction (statistics, machine learning, optimization)

call_generic_lasso_glm_predict()

generic_lasso_glm_predict(X,y,str_distribution,str_link_f...

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updated 6 months ago

Generic function and example code for using neural networks by Dr. Soumya Banerjee

Generic function and example code for using neural networks for prediction. (machine learning, classification, statistics)

call_generic_neural_network()

generic_neural_network(X,T,parallel,iNumHidden)

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updated 6 months ago

Generic function for LASSO on logistic regression by Dr. Soumya Banerjee

Generic function and example code for LASSO on logistic regression. (classification, regression, machine learning)

call_generic_lasso_logistic()

generic_lasso_logistic(X,y,str_distribution,num_fold_cros...

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updated 7 months ago

Using Weka in Matlab by Sunghoon Lee

An efficient interface to use Weka in MATLAB (analysis, probability, machine learning)

classifier_example()

clustering_example()

costSensitiveClassifier_example()

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updated 7 months ago

simple forecast with AR model by raffaele

raffaele (view profile)

forecast with iterative or direct methods, a general AR(p) model, choosing the best p with AIC algo (econometrics, statistics, regression)

fcast.m

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updated 8 months ago

Example code and generic function to perform LASSO on GLM by Dr. Soumya Banerjee

Generic function to perform LASSO on generalized linear model (GLM). (mathematics, optimization, regression)

call_custom_lasso_glm()

custom_lasso_glm(X,y,str_distribution,num_fold_cross_vali...

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updated 8 months ago

DOC-Toolbox by Robert Walecki

DOC-Toolbox (classification, regression, crf)

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updated 9 months ago

Gridsearch for LibSVM library by Pavel Paunov

Gridsearch for the LibSVM support vector machine library. (svm, machine learning, gridsearch)

Gridsearch

MatrixToVector

VectorToMatrix

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updated 9 months ago

Simple linear regression between EUR/USD exchange rate and 10Y USD Treasury Rate by Mario Santos

Simple linear regression between EUR/USD exchange rate and 10Y USD Treasury Rate (regression)

Regression.m

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updated 9 months ago

polyfitn by John D'Errico

John D'Errico (view profile)

Polynomial modeling in 1 or n dimensions (polyfit, modeling, regression)

polyfitn_demo

polydern(p,diffvar)

polyfitn(indepvar,depvar,modelterms)

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updated 10 months ago

Batched partitioned nonlinear least squares by John D'Errico

John D'Errico (view profile)

Speed up when you have a very large number of nonlinear least squares problems, but with one model (optimization, regression, nonlinear)

Demo file for batchpleas.m

batchpleas(Xdata,Ydata,batchindex,funlist,INLPstart,batch...

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updated 11 months ago

quantreg(x,y,tau,order,Nboot) by Aslak Grinsted

Aslak Grinsted (view profile)

Quantile regression with bootstrapping confidence intervals (statistics, quantile, median)

quantreg(x,y,tau,order,Nboot)

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updated 11 months ago

dcorr( X, Y ) by Paolo Inglese

Paolo Inglese (view profile)

Distance correlation (correlation, distance, classification)

dcorr( X, Y )

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updated 12 months ago

allregress(y,X,criteria) by Shen Liu

Shen Liu (view profile)

All possible regressions of y on X, selecting the best model by a means of selection criteria (regression, model selection)

allregress(y,X,criteria)

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updated 12 months ago

Batch Coverage Reporting by Dirk Jungquist

Report top level coverage on mutiple models though a single script. (coverage, batch, regression)

BlockNames()

RunCoverageReport.m

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updated 12 months ago

Function to perform Bayesian LASSO by Dr. Soumya Banerjee

Function to perform Bayesian LASSO (least absolute shrinkage and selection operator) (signal processing, mathematics, statistics)

bayesian_lasso_generic(X,Y)

call_bayesian_lasso()

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updated 1 year ago

Simple MATLAB example code and generic function to perform LASSO by Dr. Soumya Banerjee

Simple MATLAB example code and generic function to perform LASSO (optimization, statistics, regression)

call_lasso

lasso_generic(X,Y,iFold_cross_validation)

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updated 1 year ago

Machine Learning for Mining & Metals by David Willingham

2 examples for Machine Learning for Mining, Regression & Classification (machine learning, metals, mining)

plotFitErrors.m

plotFitErrors.m

Rsquared(Y, YHat )

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updated 1 year ago

Bayesian Linear Regression by Dr. Soumya Banerjee

This is a set of MATLAB functions to do Bayesian linear regression (statistics, optimization, mathematics)

bayesian_regression

CALL_bayesian_regression

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updated 1 year ago

TSLS (variable input) by raffaele

raffaele (view profile)

this function allows multiple input arguments for a TSLS regression (statistics, econometrics, regression)

tsls(y,x,varargin)

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updated 1 year ago

libPLS_1.95.zip by Hongdong Li

libPLS: An Integrated Library of Partial Least Squares Regression and Discriminant Analysis (signal processing, statistics, modeling)

irf.m

plsnipals.m

axisrange(x)

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updated 1 year ago

Mixtures of Experts, Using Gaussian Mixture Models for the Gate by Joseph Santarcangelo

This code implements the mixture of expert’s using a Gaussian mixture model for the gate. (mixture of experts, gaussian, expectation maximizat...)

OutputMixtureofExpertsParametric(Prior, Mu, Sigma,West,X,...

TrainMixtureofExpertsParametric(Target,PHI,X,NumberExpert...

TwoExpertToyData( )

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updated 1 year ago

Regression with Gradient Descent by Shujaat Khan

Shujaat Khan (view profile)

Regression with Gradient Descent; A coefficient finding technique for the desired system model (regression, descent gradient, machine learning)

Arbitary.m

Exp_Pred.m

Linear_Pred.m

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updated 1 year ago

Radial Basis Function with K Mean Clustering by Shujaat Khan

Shujaat Khan (view profile)

Radial Basis Function with K Mean Clustering using Pseudo inverse method (kmean, clustering, rbf)

Class_IDs(NC,NS)

K_Means(X,M,D)

Kernel(X,C)

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updated 1 year ago

normalMLE.m by Tyler Ransom

Estimates heteroskedastic normal linear regression model via MLE (optimization, regression, analysis)

normalMLE(b,restrMat,Y,X,W,d)

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updated 1 year ago

Linear Deming Regression by James Hall

deming perfoms a linear Deming regression. Useful when errors are present in both x and y variables. (linear regression, regression, orthogonal regression)

deming(x,y,lambda,alpha)

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updated 1 year ago

Support Vector Regression by Ronnie Clark

A MATLAB implementation of Support Vector Regression (SVR). (regression, nonlinear, machine learning)

svr_trainer(xdata,ydata, c, epsilon, kernel, varargin)

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updated 1 year ago

Regress_Bivariate by Kaustubh Thirumalai

Weighted Linear Regression w (Correlated or Uncorrelated) Errors in Bivariate Data (regression, maximum likelihood es..., bivariate error)

Regress_Bivariate

errorbar_x(x, y, l,u,symbol)

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