Richard

 

Files Posted by Richard					View all 1 - 5 of 8
Updated		File	Tags	Downloads (last 30 days)	Comments	Rating
18 Oct 2011		Computational Statistics: Feature Selection, Regularization, and Shrinkage MATLAB code for "Computational Statistics: Feature Selection, Regularization, and Shrinkage" Author: Richard	sequential feature se...	19	1	5.0 5.0 | 1 rating
25 May 2011		Data Driven Fitting with MATLAB Demostration code and data sets for the "Data Driven Fitting with MATLAB" webinar. Author: Richard	localized regressionl...	61	0
09 May 2011		Exploring Protein-DNA Binding Sites from Paired-End ChIP-Seq Data MATLAB code for the "Exploring Protein-DNA Binding Sites from Paired-End ChIP-Seq Data" webinar. Author: Richard	chipseqbioinformatics...	8	0
25 Apr 2011		Fitting with MATLAB: Statistics, Optimization, and Curve Fitting Demo code and data for the "Fitting with MATLAB" webinar Author: Richard	poisson regression, logistic regression, orthogonal regression, total least squares, deming regression, feature selection	52	0
20 Sep 2010		Introduction to Classification Files and code from Computational Statistics: Getting Started with Classification using MATLAB® Author: Richard	classification, machine learning, naive bayes, treebagger, classificationnaive b..., statistical learning	59	2	5.0 5.0 | 3 ratings

Comments and Ratings on Richard's Files			View all 1 - 5 of 6
Updated	File	Comment by	Comments	Rating
22 Oct 2011	Computational Statistics: Feature Selection, Regularization, and Shrinkage MATLAB code for "Computational Statistics: Feature Selection, Regularization, and Shrinkage" Author: Richard	Ali, Ali	Thanks a lot
15 Sep 2011	Introduction to Classification Files and code from Computational Statistics: Getting Started with Classification using MATLAB® Author: Richard	Smart, Mr
10 Mar 2011	Introduction to Classification Files and code from Computational Statistics: Getting Started with Classification using MATLAB® Author: Richard	Gaspar	Excellent presentation and demo on using datasets to do classification.
06 Jan 2011	Optimizing breakpoints for Tables MATLAB code to support the "Generating Optimal Tables using MATLAB" webinar. Author: Richard	AbouSleiman, Rami	This submission would have been nicer if it run on older versions of Matlab which is by no means hard to implement. Also the probability toolbox is also needed along with the curve fitting and the optimization toolboxes.
02 Jan 2011	Introduction to Classification Files and code from Computational Statistics: Getting Started with Classification using MATLAB® Author: Richard	Ali, Ali	Thanks a lot. Fanstastic demo and code.

Top Tags Applied by Richard	1 - 5 of 36
bootstrap, cross validation, loess, censored data, censoring

Files Tagged by Richard					View all 1 - 5 of 8
Updated		File	Tags	Downloads (last 30 days)	Comments	Rating
18 Oct 2011		Computational Statistics: Feature Selection, Regularization, and Shrinkage MATLAB code for "Computational Statistics: Feature Selection, Regularization, and Shrinkage" Author: Richard	sequential feature se...	19	1	5.0 5.0 | 1 rating
25 May 2011		Data Driven Fitting with MATLAB Demostration code and data sets for the "Data Driven Fitting with MATLAB" webinar. Author: Richard	localized regressionl...	61	0
09 May 2011		Exploring Protein-DNA Binding Sites from Paired-End ChIP-Seq Data MATLAB code for the "Exploring Protein-DNA Binding Sites from Paired-End ChIP-Seq Data" webinar. Author: Richard	chipseqbioinformatics...	8	0
25 Apr 2011		Fitting with MATLAB: Statistics, Optimization, and Curve Fitting Demo code and data for the "Fitting with MATLAB" webinar Author: Richard	poisson regression, logistic regression, orthogonal regression, total least squares, deming regression, feature selection	52	0
20 Sep 2010		Introduction to Classification Files and code from Computational Statistics: Getting Started with Classification using MATLAB® Author: Richard	classification, machine learning, naive bayes, treebagger, classificationnaive b..., statistical learning	59	2	5.0 5.0 | 3 ratings

Files Matching Richard's Watch List					View all 1 - 5 of 6
Updated		File	Tags	Downloads (last 30 days)	Comments	Rating
25 Apr 2011		Fitting with MATLAB: Statistics, Optimization, and Curve Fitting Demo code and data for the "Fitting with MATLAB" webinar Author: Richard	poisson regression, logistic regression, orthogonal regression, total least squares, deming regression, feature selection	52	0
20 Dec 2010		SLM - Shape Language Modeling Least squares spline modeling using shape primitives Author: John D'Errico		67	38	5.0 5.0 | 21 ratings
20 Sep 2010		Introduction to Classification Files and code from Computational Statistics: Getting Started with Classification using MATLAB® Author: Richard	classification, machine learning, naive bayes, treebagger, classificationnaive b..., statistical learning	59	2	5.0 5.0 | 3 ratings
06 May 2010		MATLAB code for the nonparametric fitting video Use localized regression, cross validation, and the bootstrap for nonparametric fitting. Author: Richard	localized regression, loess, lowess, cross validation, bootstrap	7	0
05 Feb 2010		Pivot/unPivot Group a flat dataset into pivot table and unpivot it back Author: Oleg Komarov	group, unstack, stack, unpivot, reshape, pivot	18	1	4.33333 4.3 | 3 ratings

Comments and Ratings Matching Richard's Watch List			1-5 of 53
Date	File	Comment by	Comments	Rating
15 Sep 2011	Introduction to Classification Files and code from Computational Statistics: Getting Started with Classification using MATLAB®	Mr Smart		5
10 Aug 2011	SLM - Shape Language Modeling Least squares spline modeling using shape primitives	Britnee crawford	John, I just sent you an email regarding a question about fitting a piecewise constant curve to an approximately normal distribution. But, I thought I would post the question here as well. I need the pw const curve to have 13 pieces, but I want the knots to be freely spaced, but I noticed in your comments that pw constant curves have trouble with this. Is there any way around it? If not, is there a way to make the last interior knot to be at the start of the flat part of the distribution (the right tail) and then the other pieces are fit to the central part of the curve where the curve is changing rapidly. Thank you again for your great contributions! I have used your tools in several parts of my dissertation. Thank you, Britnee	Comment only
01 Jun 2011	SLM - Shape Language Modeling Least squares spline modeling using shape primitives	John D'Errico	Ron - Thanks for finding the weights bug. I'll post a new version with a fix. As far as references go, I don't really know of any. The basic philosophy is a somewhat Bayesian one, wherein one uses knowledge of the physical system to be modeled to yield a viable model consistent with your prior information. In practice, I have found it to work splendidly, and have used similar schemes for over 20 years. I've given many talks on that modeling philosophy, but no published papers. I'll argue that what makes SLM work as well as it does is the use of a simple scheme to encode your knowledge of the system into a set of well defined parameters describing the shape of the curve.	Comment only
31 May 2011	Pivot/unPivot Group a flat dataset into pivot table and unpivot it back	Christian Weber		5
31 May 2011	SLM - Shape Language Modeling Least squares spline modeling using shape primitives	Ron Abileah	These routines are very useful. Would like to read more on the mathematical foundation of these routines. Can you recommend reading beyond the basic least square splines references? Also, I made the following correction concerning handling of weights... % were there any NaN or inf elements in the data? k = isnan(x) | isnan(y) | isinf(x) | isinf(y); if any(k) % drop them from the analysis x(k) = []; y(k) = []; prescription.Weights(k) = []; % ALSO drop corresponding weights, May 2011 n = length(x); end % if weights or errorbars were set, verify the sizes of these % parameters, compared to the number of data points.	5