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Hi there,
I'm actively developing and maintaining a package on Bayesian nonparametrics in julia:
[BayesianNonparametrics.jl](https://github.com/OFAI/BayesianNonparametrics.jl)
which was presente…
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We can use the truncated DP mixture approach given [in the PyMC3 examples](https://docs.pymc.io/notebooks/dp_mix.html#Dirichlet-process-mixtures) to estimate the number of mixture components.
Let's s…
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(Elham Azizi asks about DP mixture models for use in some of her work with Dana Pe’er in computational biology.)
part of my reply below:
> DPs in their full infiniteness aren’t possible in Edward fo…
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@dustinvtran Hi Dustin,
How hard do you think it is to implement the following models in Edwards using the Tensorflow backend?
- Hierarchical variational models
- [Variational Recurrent Neural…
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#### Is your feature request related to a problem? Please describe
Not related to a problem, but an excellent enhancement to the KDE capability offered by statsmodel. Precisely, introducing Improved…
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Compared to several other packages, sklearn for example, our documentation is still too much "library" style (like numpy, scipy)
see issue #635 for some discussion and suggestions
Currently, we have…
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This outlines a roadmap for basic statistical functionality that Julia needs to offer. It is heavily drawn from the table of contents for MASS.
- [ ] Data processing [DataFrames.jl](https://github.com…
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based on Bruce Hansen's notes this should be easy to add (for fixed bandwidth)
http://www.ssc.wisc.edu/~bhansen/718/NonParametrics1.pdf
They might not be very good, but better than nothing.
A bit be…
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One thing I have always wanted to do is write more tutorials that empirical and theoretical economists can use to inform how they do their research. @trappmartin recently reminded me how much I have w…
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For my own research, I developed a Univariate KDE module, with a focus on managing boundary conditions. You can find the documentation there:
http://pyqt-fit.readthedocs.org/en/latest/
the package c…