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updated 6 days 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 10 days ago

Pattern Recognition Toolbox by Peter

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

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updated 24 days 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 25 days 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 28 days 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 month 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 3 months ago

Multivariable Polynomial Regression by Ahmet Cecen

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

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updated 4 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 4 months ago

media_dvst_inc.m by Darko

Statistic Analysis (statistics, linear, regression)

media_dvst_inc.m

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updated 4 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 5 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 6 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 6 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 6 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 6 months 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)

[C]=K_Means(X,M,D)

[Class_IDS]=Class_IDs(NC,NS);

[K]=Kernel(X,C)

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updated 7 months 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 8 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 9 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 9 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 10 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 11 months 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 1 year 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 1 year 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 1 year 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 1 year 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 almost 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 almost 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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updated 3 years ago

Smoothing 2D Contours Using Local Regression Lines by Tolga Birdal

This submission contains both the implementation and the test function for 2D contour smoothing. (smoothing, contour processing, chain codes)

test_smooth_contours()

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updated 3 years ago

Interface with Eureqa featuring symbolic regression by Johannes Jenkner

Matlab mex function to call Eureqa server (http://creativemachines.cornell.edu/eureqa) (eureqa api, regression, statistics)

example.m

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updated 3 years ago

quantreg.m - quantile regression by Aslak Grinsted

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

[p,stats]=quantreg(x,y,tau,order,Nboot);

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updated 3 years ago

Dynamic Pooled Forecasting by Semin Ibisevic

Dynamic combined forecasting and dynamic principal component regression frameworks. (dynamic, pooled, forecasting)

combinefc(y, Yiv, type, theta, q0)

indivfc(X, y, m, rol, lag, distr)

pcafc(X, y, m, J, Zbin, rol, lag, distr)

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updated 3 years ago

Boosted Generalized Additive Models (bgam) package by Patrick Mineault

Boosting for the Generalized Additive and Linear Models (GAM and GLM). (glm, gam, generalized linear mo...)

fitbgam(y,X,trainer,fitParams)

fitcvbgam(y,X,trainer,fitParams,folds)

bgam.CVFit

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updated 3 years ago

Optimization Tips and Tricks by John D'Errico

Tips and tricks for use of the optimization toolbox, linear and nonlinear regression. (optimization, examples, tutorial)

optimtips

[x,fval,exitflag,output]=fminsearchbnd(fun,x0,LB,UB,optio...

consolidator(x,y,aggregation_mode,tol)

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updated 3 years ago

Electricity Load and Price Forecasting Webinar Case Study by Ameya Deoras

Slides and MATLAB® code for the day-ahead system load and price forecasting case study. (electricity, energy trading, model)

Electricity Load Forecasting using Neural Networks

Electricity Price Forecasting with Neural Networks

Load Forecasting using Bagged Regression Trees

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