Submitted

New Regression Capabilities in r2012a

Example code to accompany the "New Regression Capabilities" presentation

3년 이하 ago | 8 downloads |

Submitted

Computational Statistics: Feature Selection, Regularization, and Shrinkage

MATLAB code for "Computational Statistics: Feature Selection, Regularization, and Shrinkage"

3년 이하 ago | 7 downloads |

Submitted

Data Driven Fitting with MATLAB

Demostration code and data sets for the "Data Driven Fitting with MATLAB" webinar.

3년 이하 ago | 18 downloads |

Submitted

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.

3년 이하 ago | 1 download |

Submitted

Fitting with MATLAB: Statistics, Optimization, and Curve Fitting

Demo code and data for the "Fitting with MATLAB" webinar

3년 이하 ago | 7 downloads |

Submitted

Introduction to Classification

Files and code from Computational Statistics: Getting Started with Classification using MATLAB®

3년 이하 ago | 35 downloads |

Submitted

MATLAB code for the nonparametric fitting video

Use localized regression, cross validation, and the bootstrap for nonparametric fitting.

3년 이하 ago | 2 downloads |

Submitted

Optimizing breakpoints for Tables

MATLAB code to support the "Generating Optimal Tables using MATLAB" webinar.

3년 이하 ago | 1 download |

Submitted

Computational Statistics Webinar

Use cross validation and Bootstrap to enhance LOESS

3년 이하 ago | 1 download |

Answered

Crossvalidation of Classification Trees?

I recommend that you look at the following example from the file exchange http://www.mathworks.com/matlabcentral/fileexchange...

Crossvalidation of Classification Trees?

I recommend that you look at the following example from the file exchange http://www.mathworks.com/matlabcentral/fileexchange...

7년 이상 ago | 0

Answered

linear regression

Alternatively, if you have the 12a version of Statistics Tbx X = [1,2,3,4,5,6,7,8,9]; Y = [4 5 6 9 8 7 4 1 2]; my...

linear regression

Alternatively, if you have the 12a version of Statistics Tbx X = [1,2,3,4,5,6,7,8,9]; Y = [4 5 6 9 8 7 4 1 2]; my...

7년 이상 ago | 1

Answered

How to apply Random walks ?

MATLAB includes a wide variety of functions that can be used to simulate a random walk. Depending on what precisely you want to...

How to apply Random walks ?

MATLAB includes a wide variety of functions that can be used to simulate a random walk. Depending on what precisely you want to...

7년 이상 ago | 1

Answered

What is a reasonable lower time limit for regstats?

MATLAB and Statistics Toolbox provide a variety of ways to perform a regression. For example, if I am performing a simple linea...

What is a reasonable lower time limit for regstats?

MATLAB and Statistics Toolbox provide a variety of ways to perform a regression. For example, if I am performing a simple linea...

7년 이상 ago | 1

Answered

Parametric bootstraping in curve fitting

In general when I hear the expression parametric bootstrap I think "parametric residual bootstrap" I'm attaching some simple ...

Parametric bootstraping in curve fitting

In general when I hear the expression parametric bootstrap I think "parametric residual bootstrap" I'm attaching some simple ...

7년 이상 ago | 1

| accepted

Answered

How do I Regression Fit a SinWave to a dataset?

Here's some simple code that illustrates how to perform nonlinear regression using the 12a release of Statistics Toolbox. Not...

How do I Regression Fit a SinWave to a dataset?

Here's some simple code that illustrates how to perform nonlinear regression using the 12a release of Statistics Toolbox. Not...

7년 이상 ago | 1

Answered

Homework help.

Couple quick questions / comments 1. are you sure you typed in the model correctly? This looks very close to a Gompertz fun...

Homework help.

Couple quick questions / comments 1. are you sure you typed in the model correctly? This looks very close to a Gompertz fun...

7년 이상 ago | 0

Answered

Curve fitting f(x,y) result

I'm attaching code that shows a couple different ways to solve your problem. I prefer the second option. The R^2 is slightly...

Curve fitting f(x,y) result

I'm attaching code that shows a couple different ways to solve your problem. I prefer the second option. The R^2 is slightly...

7년 이상 ago | 1

Answered

Curve fitting f(x,y) result

Hi ZazOufUMl A "Poly31" model is different than the one that I suggested. (Poly31 will contain a number of cross terms). ...

Curve fitting f(x,y) result

Hi ZazOufUMl A "Poly31" model is different than the one that I suggested. (Poly31 will contain a number of cross terms). ...

7년 이상 ago | 0

Answered

Curve fitting f(x,y) result

Hi there The "Poly54" fit type is specifying a 5th order polynomial in one direction and a 4th order polynomial in the other....

Curve fitting f(x,y) result

Hi there The "Poly54" fit type is specifying a 5th order polynomial in one direction and a 4th order polynomial in the other....

7년 이상 ago | 0

Answered

Matlab - How to Generate Random Numbers from a Specific Probability Density

If Pv and Pa can both be described as functions of a, you might be able to use a univariate generator to generate plausible valu...

Matlab - How to Generate Random Numbers from a Specific Probability Density

If Pv and Pa can both be described as functions of a, you might be able to use a univariate generator to generate plausible valu...

7년 이상 ago | 0

Answered

Multicolinearity/Regression/PCA and choice of optimal model (2nd try)

I'm attaching some code that might provide helpful I also have a two part blog posting on this same subject that provides a b...

Multicolinearity/Regression/PCA and choice of optimal model (2nd try)

I'm attaching some code that might provide helpful I also have a two part blog posting on this same subject that provides a b...

7년 이상 ago | 0

| accepted

Answered

The problem of using rng to generate random numbers.

From the sounds of things, the simplest thing to do would be to generate all of your random numbers OUTSIDE your loop. Start ...

The problem of using rng to generate random numbers.

From the sounds of things, the simplest thing to do would be to generate all of your random numbers OUTSIDE your loop. Start ...

7년 이상 ago | 0

Answered

The problem of using rng to generate random numbers.

It's hard to make a specific recommendation without known more about the use case. What (specifically) are you trying to acco...

The problem of using rng to generate random numbers.

It's hard to make a specific recommendation without known more about the use case. What (specifically) are you trying to acco...

7년 이상 ago | 0

Answered

classifier

I did a webinar a couple years titled: "Computational Statistics: An Introduction to Classification with MATLAB". You can ...

classifier

I did a webinar a couple years titled: "Computational Statistics: An Introduction to Classification with MATLAB". You can ...

7년 이상 ago | 0

Answered

Surface Fitting Tool Coefficient Structure

Local regression (aka LOWESS/LOESS) and interpolation don't lend themselves to parametric representations. There really isn't a...

Surface Fitting Tool Coefficient Structure

Local regression (aka LOWESS/LOESS) and interpolation don't lend themselves to parametric representations. There really isn't a...

7년 이상 ago | 0

| accepted

Answered

Curve smoothing using Matlab

I have a function called FitIt on the file exchange that might prove useful. FitIt combines Local regression (to smooth yo...

Curve smoothing using Matlab

I have a function called FitIt on the file exchange that might prove useful. FitIt combines Local regression (to smooth yo...

7년 이상 ago | 0

Answered

Get Y values from Curve Fitting Tool

For simplicity, this code is using a simple linear model. However, the same syntax with work for your nonlinear regression. ...

Get Y values from Curve Fitting Tool

For simplicity, this code is using a simple linear model. However, the same syntax with work for your nonlinear regression. ...

7년 이상 ago | 4

| accepted

Answered

Least squares linear regression when squares have to do with elasticity?

Here's a simple example using the new regression functions in the 12a release. All you need to do is pass the appropriate weigh...

Least squares linear regression when squares have to do with elasticity?

Here's a simple example using the new regression functions in the 12a release. All you need to do is pass the appropriate weigh...

7년 이상 ago | 1

Answered

Multi-parametric fit with matlab

Hi Miguel fitensemble is able to handle multiple independent variables. You should be able to use this with the data set tha...

Multi-parametric fit with matlab

Hi Miguel fitensemble is able to handle multiple independent variables. You should be able to use this with the data set tha...

7년 이상 ago | 0

| accepted

Answered

Multi-parametric fit with matlab

Hi Miguel From the sounds of things, your central problem is that you're unable to specify an equation that describes the rel...

Multi-parametric fit with matlab

Hi Miguel From the sounds of things, your central problem is that you're unable to specify an equation that describes the rel...

7년 이상 ago | 0