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PCA princomp help please

There are some examples where Principal Component Analysis is used for regression. Traditional regression analysis assumes ...

PCA princomp help please

There are some examples where Principal Component Analysis is used for regression. Traditional regression analysis assumes ...

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How to use the outputs of the Stepwise function?

Hi John The stepwise function in Statistics Toolbox is used for liner regression. If you want to use a stepwise type alg...

How to use the outputs of the Stepwise function?

Hi John The stepwise function in Statistics Toolbox is used for liner regression. If you want to use a stepwise type alg...

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Perform sequential feature selection for classification of noisy features - code explanation

Hi Adrian I did a two part series on Loren Shure's blog contrasting feature selection techniques with regularization. The ar...

Perform sequential feature selection for classification of noisy features - code explanation

Hi Adrian I did a two part series on Loren Shure's blog contrasting feature selection techniques with regularization. The ar...

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Non-linear regression

For what its worth, I just took a very quick look at the data set that you provided. years = [1982 1983 1984 1985 1986 1987...

Non-linear regression

For what its worth, I just took a very quick look at the data set that you provided. years = [1982 1983 1984 1985 1986 1987...

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uncertainty and curve fitting

If you need confidence intervals nlinfit is a better option

uncertainty and curve fitting

If you need confidence intervals nlinfit is a better option

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Non-linear regression

I'd strongly suggestion that you watch a webinar titled "Electricity Load and Price Forecasting with MATLAB". The webinar is av...

Non-linear regression

I'd strongly suggestion that you watch a webinar titled "Electricity Load and Price Forecasting with MATLAB". The webinar is av...

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Linear Regression - more weight on specific Bins of data

MathWorks tech support has a solution documenting various options for weighted regression. http://www.mathworks.com/support/s...

Linear Regression - more weight on specific Bins of data

MathWorks tech support has a solution documenting various options for weighted regression. http://www.mathworks.com/support/s...

environ 12 ans il y a | 2

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how to deal with a missing value of a time series?

Hi Yoshiko The treatment of missing data is a fairly complicated topic. The choice of techniques to handle a missing data prob...

how to deal with a missing value of a time series?

Hi Yoshiko The treatment of missing data is a fairly complicated topic. The choice of techniques to handle a missing data prob...

environ 12 ans il y a | 0

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stats toolbox...fitting a curve to a plot in log log space

Question and a Comment First, the question: It's unclear whether you are trying to do a curve fit or a distribution fit. Yo...

stats toolbox...fitting a curve to a plot in log log space

Question and a Comment First, the question: It's unclear whether you are trying to do a curve fit or a distribution fit. Yo...

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Surface fitting tool, results accuracy

Offhand, I don't know any way to change the display within the tool itself. With this said and done, its fairly easy to 1. ...

Surface fitting tool, results accuracy

Offhand, I don't know any way to change the display within the tool itself. With this said and done, its fairly easy to 1. ...

environ 12 ans il y a | 0

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fitting a polynomial function to data points and ploting it

If you have Curve Fitting Toolbox, you can generate everything you need as follows X = 1:100; X = X'; Y = X.^2 + 3*X + 5 ...

fitting a polynomial function to data points and ploting it

If you have Curve Fitting Toolbox, you can generate everything you need as follows X = 1:100; X = X'; Y = X.^2 + 3*X + 5 ...

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SVM Regression

The SVM implementation in Bioinformatics Toolbox does not support Support Vector Regression. With this said and done, the boo...

SVM Regression

The SVM implementation in Bioinformatics Toolbox does not support Support Vector Regression. With this said and done, the boo...

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How to fit a curve with forced initial value

Hi Phillippe If you have Statistics Toolbox or Curve Fitting Toolbox its relatively easy to force this type of constraint. ...

How to fit a curve with forced initial value

Hi Phillippe If you have Statistics Toolbox or Curve Fitting Toolbox its relatively easy to force this type of constraint. ...

environ 12 ans il y a | 1

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how to select random rows from a matrix?

Statistics Toolbox includes a nice function called randsample % Generate a matrix named foo foo = randn(10000,2); ...

how to select random rows from a matrix?

Statistics Toolbox includes a nice function called randsample % Generate a matrix named foo foo = randn(10000,2); ...

environ 12 ans il y a | 4

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Linear data fitting

From my perspective, the easiest way to solve this one is # Fit a linear model to the complete data set # Apply a clustering al...

Linear data fitting

From my perspective, the easiest way to solve this one is # Fit a linear model to the complete data set # Apply a clustering al...

environ 12 ans il y a | 0

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Which curve fitting function do I need?

nlinfit uses optimization solvers under the hood, so it's not too surprising that you're getting the same answer. nlinfit is pa...

Which curve fitting function do I need?

nlinfit uses optimization solvers under the hood, so it's not too surprising that you're getting the same answer. nlinfit is pa...

environ 12 ans il y a | 1

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General Least Squares Fit

Thanks for clarifying. From the sounds of things, you need some kind of solution for non-parametric fitting. The choice of...

General Least Squares Fit

Thanks for clarifying. From the sounds of things, you need some kind of solution for non-parametric fitting. The choice of...

environ 12 ans il y a | 0

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General Least Squares Fit

I am somewhat confused by the question. Regression analysis is used to estimate a set of regression coefficients than minimiz...

General Least Squares Fit

I am somewhat confused by the question. Regression analysis is used to estimate a set of regression coefficients than minimiz...

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Multinomial logistic regression

The following example deals with Poisson regression rather than logistic regression. I'm posting this because it includes a fair...

Multinomial logistic regression

The following example deals with Poisson regression rather than logistic regression. I'm posting this because it includes a fair...

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How to estimate Standard Error for the coefficients in ridge regression aproach

If you're working with a ridge regression model (as opposed to lasso or elastic net) then its relatively easy to code up a paire...

How to estimate Standard Error for the coefficients in ridge regression aproach

If you're working with a ridge regression model (as opposed to lasso or elastic net) then its relatively easy to code up a paire...

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Populating a 3D lookup table

Hi Stephen I did a webinar a couple years back focusing on using sftool to generate lookup tables for Simulink. The webi...

Populating a 3D lookup table

Hi Stephen I did a webinar a couple years back focusing on using sftool to generate lookup tables for Simulink. The webi...

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Markov Chain - Hidden Markov Model; how to create markov chains and combine them to a hidden markov model

When I am working with Markov Chains I'm normally looking at stationary distributions which, by definition, don't depend on the ...

Markov Chain - Hidden Markov Model; how to create markov chains and combine them to a hidden markov model

When I am working with Markov Chains I'm normally looking at stationary distributions which, by definition, don't depend on the ...

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Bootstrap sampling depending on portfolio

Hi Philip I attached a couple different examples of residual bootstraps using MATLAB The following reference provides some...

Bootstrap sampling depending on portfolio

Hi Philip I attached a couple different examples of residual bootstraps using MATLAB The following reference provides some...

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Curve fitting to data sets with multiple parameters

The easiest way to solve this type of problem is the nlinfit function inside Statistics Toolbox. Here's a simple example that d...

Curve fitting to data sets with multiple parameters

The easiest way to solve this type of problem is the nlinfit function inside Statistics Toolbox. Here's a simple example that d...

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Optimal(default) bandwidth estimation method

You can open ksdensity.m in your editor and inspect the bandwidth estimation code. This section of the code starts at line 29...

Optimal(default) bandwidth estimation method

You can open ksdensity.m in your editor and inspect the bandwidth estimation code. This section of the code starts at line 29...

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Bootstrap for surface fit goodness of fit stats

Few quick observations First: There are a lot of different ways to bootstrap a regression model. Some of the more common exam...

Bootstrap for surface fit goodness of fit stats

Few quick observations First: There are a lot of different ways to bootstrap a regression model. Some of the more common exam...

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Multi-Dimensional Data for SVM

Hi Ziggy First: Statistics Toolbox has a number of good classification algorithms. The 11a release includes a variety of di...

Multi-Dimensional Data for SVM

Hi Ziggy First: Statistics Toolbox has a number of good classification algorithms. The 11a release includes a variety of di...

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how to use cfit to get fitobject and gof from a separately provided line

The aren't any constructor options for the Fit Objects in Curve Fitting Toolbox. The easiest way to accomplish your goal is t...

how to use cfit to get fitobject and gof from a separately provided line

The aren't any constructor options for the Fit Objects in Curve Fitting Toolbox. The easiest way to accomplish your goal is t...

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Interpolating Multivariate time series

Handling missing data is a very complicated topic. There are a number of different approaches that you can use including listwi...

Interpolating Multivariate time series

Handling missing data is a very complicated topic. There are a number of different approaches that you can use including listwi...

plus de 12 ans il y a | 0

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Problem of robust fitting using the "robustfit" function

Hi Massinissa In your first example, you are fitting Z as a function of X and Y. In the second you are fitting X as a function...

Problem of robust fitting using the "robustfit" function

Hi Massinissa In your first example, you are fitting Z as a function of X and Y. In the second you are fitting X as a function...

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