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updated 8 days ago

General 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,show)

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updated 22 days ago

Pattern Recognition Toolbox by Peter

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

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updated 1 month 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 month ago

Bayesian Linear Regression by 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 month ago

TSLS (variable input) by raffaele

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

tsls(y,x,varargin)

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updated 1 month 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 month 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,...

TwoExpertToyData( )

[Prior, Mu, Sigma,West,Var,Lickyhood] =TrainMixtureofExpe...

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updated 1 month 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 1 month ago

Regression with Gradient Descent by Shujaat Khan

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 month ago

Radial Basis Function with K Mean Clustering by Shujaat Khan

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 month ago

Theil-Sen Robust Linear Regression by Zachary Danziger

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

TheilSen.m

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updated 1 month ago

Multivariate Polynomial Regression by Ahmet Cecen

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

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updated 3 months ago

normalMLE.m by Tyler Ransom

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

[like,grad]=normalMLE(b,restrMat,Y,X,W,d)

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updated 3 months 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 3 months 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 3 months 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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updated 6 months ago

LTreg.m by Lars

Find the p value and coefficients for linear regression (regression, probability, statistics)

[A,B,SE,tstat,p]=LTreg(x,y)

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updated 6 months ago

media_dvst_inc.m by Darko

Statistic Analysis (statistics, linear, regression)

media_dvst_inc.m

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updated 6 months ago

Bayesian Partial Least Squares by Diego Vidaurre

Bayesian Partial Least Squares implementation, using variational inference (partial least squares, regression, regularization)

dg=digamma(x,h)

gamma_kl (shape_q,shape_p,rate_q,rate_p)

gauss_kl (mu_q,mu_p,sigma_q,sigma_p)

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updated 7 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 8 months ago

polyfitn by John D'Errico

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

polyfitn_demo

polydern(p,diffvar)

polyfitn(indepvar,depvar,modelterms)

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updated 8 months ago

Active geometric shape models by Quan Wang

The active geometric shape model is a novel approach for fitting geometric shapes in images. (image processing, mathematics, optimization)

AGSM Canvas

DD=myspline(D,theta)

GI=gaussianBlur(I,s)

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updated 8 months ago

rfitslm by Felipe G. Nievinski

Robust fit of simple linear regression model (ignoring NaNs). (slope, regression, robust)

Theil_Sen_Regress(x,y)

nanrfitslm (x, y)

nanrslope (x, y)

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updated 10 months ago

Regression through least square(normal equations) by Koteswar Rao Jerripothula

Basic least square algorithm (Normal equations) for regression (least square, machine learning, regression)

least_square(x,y)

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updated 10 months ago

Regression Utilities by Joe Henning

A variety of regression utilities (regression, statistics, least squares)

cookdist(x, y, sigy, c, basis, plotflag)

irsvdregr(x, y, c, k)

ladratregr(x, y, sigy, p, q, monflag)

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updated 11 months ago

REGRESSION ANALYSIS. by Gentian Zavalani

Applications of regression analysis (statistics, analysis, regression)

cpodaf(unnamed1)

createFit(LP,LS)

Model.m

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updated 12 months ago

Calculating the acceleration due to gravity using linear regression method by Bassem Akl

Using polynomial linear regression model to represent the data and determine the acceleration (regression, pendulum, acceleration due to g...)

SimplePendulum_LinearRegression.m

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updated 1 year ago

Introduction to MATLAB for Machine Learning by Kristen

Includes a guide to getting started with MATLAB and builds to applying machine learning techniques. (machine learning, statistics, tutorial)

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updated 1 year ago

press by Antonio Trujillo-Ortiz

Prediction error sum of squares. (statistics, probability, residual scaling)

press(D)

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updated 1 year ago

Plane Fitting and Normal Calculation by Dan Couture

Given a set of x,y,z coordinates, find the best planar fit. (plot, regression, fit)

fitNormal(data, show_graph)

t_fitNormal()

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updated 1 year ago

Boosted Binary Regression Trees by Kota Hara

Boosted Binary Regression Trees is a powerful regression method which can handle vector targets. (statistics, data mining, regression)

brtTest( input, brtModel, varargin )

brtTrain( X, T, leafNum, treeNum, nu )

regressionTreeTest( input, Tree )

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updated 1 year ago

Restricted Cubic Spline by Leonidas Bantis

Fits the so called restricted cubic spline via least squares and obtains 95% bootstrap based CIs. (spline, restricted cubic spli..., least squares)

[bhat f sse knots CI]=rcspline(x,y,knots,bootsams,atwhich...

[bhat ff sse X]=rcs(x,y,knots,plots)

example.m

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updated almost 2 years ago

Nadaraya-Watson smoothing by Jan Motl

A non-parametrical regression (smoothing) tool using Gaussian kernel. (regression, smoothing, smooth)

[smoothed score h]=smoothing(ydata,varargin)

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updated almost 2 years ago

x2fx_names - compound predictor names for x2fx by Dmitry Kaplan

returns NAMES of columns for the output of x2fx() (x2fx, statistics, predictors)

res=x2fx_names(PredictorNames,model)

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updated almost 2 years ago

linfitregsel - term selection in linear regression by Bill Whiten

Select terms in linear regression (equation fitting) using eigenvectors and term significance (regression, term selection, regularised regressio...)

[x,cov,info]=linfitregsel(A,b,optn)

opts=optndfts(args,varargin)

linfitregseldemo.m

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updated almost 2 years ago

Hot to run WEKA classifiers within MATLAB by Gustavo

This is an example on how to select and pass parameters to Weka from MATLAB (weka, machine learning, classification)

RunWekaFromMATLAB.m

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updated 2 years ago

mvsregress by Robert Piche

Robust multivariate regression using the Student-t distribution (statistics, student, studentt)

[b,SIGMA,RESID]=mvsregress(X,y,nu)

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updated 2 years ago

Accelerated Failure Time (AFT) models by Leonidas Bantis

Fits accelerated failure time models in the presence of right and/or left censoring. (accelerated failure t..., aft, survival analysis)

[pars covpars SE CI Zscores pvalues gval exitflag hess fm...

[pars covpars SE CI Zscores pvalues gval exitflag hess fm...

[pars covpars SE CI Zscores pvalues gval exitflag hess fm...

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updated 2 years 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 2 years ago

American Monte Carlo by Kienitz Wetterau FinModelling

Algorithms for pricing American Style derivatives with Monte Carlo Simulation (american monte carlo, longstaffscwartz, policy iteration)

...

...

BinTree_A(S0, K, r, T, sigma, n, type)

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updated 2 years ago

pregress.m by Elizabeth

A Matlab function pregress.m to carry out linear regression for an arbitrary order n polynomial. (regression, polynomial fit, leastsquares)

pregress( x,y,m );

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updated 2 years ago

LOWESS, Locally Weighted Scatterplot Smoothing for linear and non-linear data (enhanced) by Jeff Burkey

LOWESS, a robust regression like LOWESS allows detecton of a trend otherwise with too much variance (regression, line fit, weighted regression)

lowess(datain,f,wantplot,imagefile,xdata)

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updated 2 years ago

New Regression Capabilities in r2012a by Richard Willey

Example code to accompany the "New Regression Capabilities" presentation (linear regression, regression, nonlinear regression)

CurvesSurfaces.m

GLMs.m

Housing.m

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updated almost 3 years ago

Neural Network RBF Regression by Siva Malla

RBF based Neural Network Regression (rbf, neural network, regression)

NeuralNetwork_RBF_Regression.m

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updated almost 3 years ago

Fast & Detailed Multivariate OLS Regression by Léon

Performs a fast multivariate OLS regression and gives detailed information at your fingertips (statistics, finance, mathematics)

aic.m

ci1.m

ci2.m

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updated 3 years ago

Theil–Sen estimator by Arnout Tilgenkamp

Robust regression for slope estimation between 1dimensional X and y (regression, slope, estimation)

Theil_Sen_Regress(x,y)

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updated 3 years ago

PLS regression or discriminant analysis, with leave-one-out cross-validation and prediction. by Cleiton Nunes

M-files for PLS, PLS-DA, with leave-one-out cross-validation and prediction (chemometrics, pls, partial least squares)

pls(x,y,vl,da)

plscv(x,y,vl,da)

plspred(x,model,y)

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updated 3 years ago

regstats2 by Oleg Komarov

Regstats enhanced. Robust std.errors; loops on a matrix of responses, 'onlydata' model. (regstats, regression, statistics)

REGSTATS2: what's new

stats=regstats2(responses,data,model,whichstats)

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updated 3 years ago

The polynomial regression method by Martin V.

The implementation of polynomial regression method by means of the least square method. (mathematics, statistics, economics)

regPol(order,x,y)

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updated 3 years ago

MyRegressionINV by Giuseppe Cardillo

Resolve a calibration problem that is: to estimate mean value and confidence interval of x since y (statistics, probability, calibration)

x=myregrinv(xc,yc,yo,verbose)

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