Eating

• SciKit Generalized Linear Models

Linear least-squares fits with errors in both coordinates.

• PH291-Dual-Axis-Error-Calculation
• IDL function

• Weighted least-squares curve fitting with errors in all variables

  Gaussian processes / variograms / Kriging

• http://www.ambhas.com/tools/html/krige_8py_source.html

• http://hpgl.aoizora.org/index.php?option=com_content&view=article&id=47&Itemid=56

• http://blog.technokrat.nl/?p=409 (qui usano la versione R in python)

• https://github.com/scikit-learn/scikit-learn/pull/14

• http://nbviewer.ipython.org/github/fonnesbeck/Bios366/blob/master/notebooks/Section5_1-Gaussian-Processes.ipynb (gaussian processes è il nome ufficiale e generico degli algoritmi tipo quelli di krige)

• http://girs.googlecode.com/svn/trunk/maths/kriging/kriging.py

• http://scikit-learn.org/0.11/auto_examples/gaussian_process/plot_gp_regression.html

• http://www.gaussianprocess.org/

• http://pygpr.sourceforge.net/

• http://sysbio.mrc-bsu.cam.ac.uk/group/images/6/6f/Infpy_gp.pdf

• https://code.google.com/p/python-in-hydrology/source/browse/trunk/codes/foo/krig_example.py?r=9

• https://www.enthought.com/services/training/geophysics

• http://ambhas.com/books/python-in-hydrology/book.html

• http://www.astroml.org/book_figures/chapter8/fig_gp_example.html

• https://github.com/astroML/astroML/blob/master/book_figures/chapter8/fig_gp_mu_z.py

• http://books.google.it/books?id=2fM8AQAAQBAJ&pg=PA539&lpg=PA539&dq=astroml+variogram&source=bl&ots=_9Pq65sDwK&sig=IU2yqsREt7hze9xjKx3rBrUb5aA&hl=en&sa=X&ei=S40GU5OsGsnStAbM54CYAw&ved=0CCoQ6AEwAA#v=onepage&q=astroml%20variogram&f=false

• http://jakevdp.github.io/blog/2013/12/01/kernel-density-estimation/

• https://gist.github.com/stober/4964727