New Regression Capabilities in r2012a by Richard Willey

Example code to accompany the "New Regression Capabilities" presentation (2012a regression func..., linear regression, regression)

CurvesSurfaces.m

GLMs.m

Housing.m

Computational Statistics: Feature Selection, Regularization, and Shrinkage by Richard Willey

MATLAB code for "Computational Statistics: Feature Selection, Regularization, and Shrinkage" (sequential feature se...)

All_Subsets.m

Elastic.m

Lasso_example.m

Data Driven Fitting with MATLAB by Richard Willey

Demostration code and data sets for the "Data Driven Fitting with MATLAB" webinar. (localized regressionl..., loess, bootstrap)

fitit(X,Y,varargin)

FititDemo.m

Load_Forecasting.m

Exploring Protein-DNA Binding Sites from Paired-End ChIP-Seq Data by Richard Willey

MATLAB code for the "Exploring Protein-DNA Binding Sites from Paired-End ChIP-Seq Data" webinar. (chipseqbioinformatics...)

chipseqdemo.m

Fitting with MATLAB: Statistics, Optimization, and Curve Fitting by Richard Willey

Demo code and data for the "Fitting with MATLAB" webinar (outlier detection, censored data, deming regression)

evalTumorWeight(t , p)

objFcn(p , tObs, drug)

CensoredData.m

Introduction to Classification by Richard Willey

Files and code from Computational Statistics: Getting Started with Classification using MATLAB® (classification, machine learning, naive bayes)

WhiteWine.m

MATLAB code for the nonparametric fitting video by Richard Willey

Use localized regression, cross validation, and the bootstrap for nonparametric fitting. (localized regression, loess, lowess)

ys=mylowess(xy,xs,span)

MTT Nonparametric Fitting Demo.m

Optimizing breakpoints for Tables by Richard Willey

MATLAB code to support the "Generating Optimal Tables using MATLAB" webinar. (lookup table, table, optimization)

delta2xy(delta,M,Xrange,Yrange)

objFcn(delta,M,Xrange,Yrange,refFitObj,Xr,Yr)

plotCurrentFit(x, optimValues, state, refFitObj,Xrange,Yran...

Computational Statistics Webinar by Richard Willey

Use cross validation and Bootstrap to enhance LOESS (computational statist..., cross validation, loess)

ys=mylowess(xy,xs,span)

chole_LOESS.m