nonlinearstatsmodels.blogspot.com

Non-Linear Models in Statsmodels

Non-Linear Models in Statsmodels. Friday, July 13, 2012. This blog post is concerned with the milestones achieved and some upcoming features in statsmodels. The model implemented is. Y = f(x, θ) e. Where the y is one dimensional endogenous data matrix, f is the nonlinear function, x is exogenous data matrix,. Is parameter matrix and 'e' is the noise in data. Parameters calculated at each iteration by the algorithm can be viewed using view iter() method. I have been working on the M-estimation of nonlinea...

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Non-Linear Models in Statsmodels | nonlinearstatsmodels.blogspot.com Reviews

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Non-Linear Models in Statsmodels. Friday, July 13, 2012. This blog post is concerned with the milestones achieved and some upcoming features in statsmodels. The model implemented is. Y = f(x, θ) e. Where the y is one dimensional endogenous data matrix, f is the nonlinear function, x is exogenous data matrix,. Is parameter matrix and 'e' is the noise in data. Parameters calculated at each iteration by the algorithm can be viewed using view iter() method. I have been working on the M-estimation of nonlinea...

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2 nonlinear models

3 estimation

4 testing

5 miscellaneous

6 features

7 example

8 robust nonlinear models

9 posted by

10 divyanshu

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Non-Linear Models in Statsmodels | nonlinearstatsmodels.blogspot.com Reviews

https://nonlinearstatsmodels.blogspot.com

Non-Linear Models in Statsmodels. Friday, July 13, 2012. This blog post is concerned with the milestones achieved and some upcoming features in statsmodels. The model implemented is. Y = f(x, θ) e. Where the y is one dimensional endogenous data matrix, f is the nonlinear function, x is exogenous data matrix,. Is parameter matrix and 'e' is the noise in data. Parameters calculated at each iteration by the algorithm can be viewed using view iter() method. I have been working on the M-estimation of nonlinea...

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nonlinearstatsmodels.blogspot.com

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Non-Linear Models in Statsmodels: Nonlinear models - Results and Tests

http://www.nonlinearstatsmodels.blogspot.com/2012/07/nonlinear-models-results-and-tests.html

Non-Linear Models in Statsmodels. Monday, July 9, 2012. Nonlinear models - Results and Tests. After computing parameters for nonlinear models using least squares (LQ) method of estimation, next step was to add result statistics and writing tests comparing results from other statistical package to those from statsmodels. The model used for analysis was the ' Misra1a. Weights (1 for the first seven observations and 0.49 for the next seven observations) were provided while fitting the data. Gretl does not p...

2

Non-Linear Models in Statsmodels: NIST Tests - Part 1

http://www.nonlinearstatsmodels.blogspot.com/2012/05/nist-tests-part-1.html

Non-Linear Models in Statsmodels. Thursday, May 3, 2012. NIST Tests - Part 1. As this is my first commit after getting selected for GSoC 2012, I would summarise the status of the project so far followed by progress made this week. Module declaring Nonlinear Model class using scipy.leastsq() was provided by my mentor, which implements nonlinear least squares method for data fitting. It also included tests against linear regression results. A module test generator.py. Models labeled as of lower difficulty ...

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Non-Linear Models in Statsmodels: Parameter estimates

http://www.nonlinearstatsmodels.blogspot.com/2012/04/parameter-estimates.html

Non-Linear Models in Statsmodels. Tuesday, April 17, 2012. The discrepancy mentioned in my previous blog post is resolved. The Jacobian calculation formula was working fine. It turned out some code debugging was required. Now the jacobian is calculated explicitly for each step using forward differences method. It is then passed on to leastsq function for the calculation of parameters. Next I will build some mechanism to let the user pass his own jacobian calculating function. View my complete profile.

4

Non-Linear Models in Statsmodels: May 2012

http://www.nonlinearstatsmodels.blogspot.com/2012_05_01_archive.html

Non-Linear Models in Statsmodels. Thursday, May 3, 2012. NIST Tests - Part 1. As this is my first commit after getting selected for GSoC 2012, I would summarise the status of the project so far followed by progress made this week. Module declaring Nonlinear Model class using scipy.leastsq() was provided by my mentor, which implements nonlinear least squares method for data fitting. It also included tests against linear regression results. A module test generator.py. Models labeled as of lower difficulty ...

5

Non-Linear Models in Statsmodels: Analytical Jacobian Use

http://www.nonlinearstatsmodels.blogspot.com/2012/04/analytical-jacobian-use.html

Non-Linear Models in Statsmodels. Sunday, April 22, 2012. In the previous post I mentioned the issue of user provided analytical derivative not giving correct results. With the help of Josef, the issue is resolved now. It turned out that, before passing on to leastsq the jacobian values had to transformed into those of "whitened" exogenous data. Here is an example of a typical Nonlinear Model Class:. Def expr(self, params, exog=None):. If exog is None:. X = self.exog. X0, x1 = x[:,0], x[:,1]. View my com...

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nonlinearstatsmodels.blogspot.com

Non-Linear Models in Statsmodels

Non-Linear Models in Statsmodels. Friday, July 13, 2012. This blog post is concerned with the milestones achieved and some upcoming features in statsmodels. The model implemented is. Y = f(x, θ) e. Where the y is one dimensional endogenous data matrix, f is the nonlinear function, x is exogenous data matrix,. Is parameter matrix and 'e' is the noise in data. Parameters calculated at each iteration by the algorithm can be viewed using view iter() method. I have been working on the M-estimation of nonlinea...

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