Quantitative Finance
Collector is a blog on Quantitative finance codes,
methods in math
finance focusing on derivative pricing, quantitative trading
and risk management, with featured entries:
 Free
real time stock quotes |
Neural network prediction |
| Elliott Wave
Analysis |
Earn money as
a part time Quant |
Feb
17
Generalized Linear Models in Matlab
glmlab is a free MATLAB toolbox for analysing generalized linear models. glmlab can fit all types of generalized linear models, including (among others):
multiple regression;
log-linear models;
logistic regression; and
weighted regression.
glmlab includes the following error distributions:
normal (Gaussian);
gamma;
inverse Gaussian;
Poisson; and
binomial.
You can also specify your own error distributions with just a little bit of MATLAB programming.
http://www.sci.usq.edu.au/staff/dunn/glmlab/glmlab.html
multiple regression;
log-linear models;
logistic regression; and
weighted regression.
glmlab includes the following error distributions:
normal (Gaussian);
gamma;
inverse Gaussian;
Poisson; and
binomial.
You can also specify your own error distributions with just a little bit of MATLAB programming.
http://www.sci.usq.edu.au/staff/dunn/glmlab/glmlab.html
Pattern Recognition Package
Several matlab packages
Quantitative Finance Collector is simply a record of my financial engineering learning journey as a master in quantitative finance, a PhD candidate in finance and a Quantitative researcher, with most of the entries written at school. 
