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Title: Bradley Gram-Hansen | An Introduction to PySPPL

Description: DPhil student in AI and Machine Learning, a lover of the natural world and passionate about interesting problems.

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Domain: bayesianbrad.github.io

authorBradley & Martin Saveski
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Links:

https://bayesianbrad.github.io/
Apple https://www.apple.com/
University of Oxford https://aims.robots.ox.ac.uk/
Biohttps://bayesianbrad.github.io/index.html#bio
Publicationshttps://bayesianbrad.github.io/index.html#publications
postshttps://bayesianbrad.github.io/index.html#posts
Resumehttps://bayesianbrad.github.io/index.html#resume
https://bayesianbrad.github.io/posts/2018_An-introduction-to-pysppl.html#PySPPL:-Introduction
pyfohttps://github.com/bradleygramhansen/pyfo
Discontinuous Hamiltonian Monte Carlo for Probabilistic Programshttps://arxiv.org/abs/1804.03523
https://bayesianbrad.github.io/posts/2018_An-introduction-to-pysppl.html#PySPPL-imports
https://bayesianbrad.github.io/posts/2018_An-introduction-to-pysppl.html#A-statistical-model-with-basic-control-flow
https://bayesianbrad.github.io/posts/2018_An-introduction-to-pysppl.html#Printing-the-Graph-G(V,E)-of-the-statistical-model.
https://bayesianbrad.github.io/posts/2018_An-introduction-to-pysppl.html#An-example-of-an-independent-Categorical-model
https://bayesianbrad.github.io/posts/2018_An-introduction-to-pysppl.html#Plotting-the-depndence-graph
https://bayesianbrad.github.io/posts/2018_An-introduction-to-pysppl.html#A-Hidden-Markov-Model
herehttp://mlg.eng.cam.ac.uk/zoubin/papers/ijprai.pdf
https://bayesianbrad.github.io/posts/2018_An-introduction-to-pysppl.html#Plotting-the-graphical-model
https://bayesianbrad.github.io/posts/2018_An-introduction-to-pysppl.html#PySPPL-for-python-based-models
https://bayesianbrad.github.io/posts/2018_An-introduction-to-pysppl.html#Bayesian-linear-regression-model
https://bayesianbrad.github.io/posts/2018_An-introduction-to-pysppl.html#The-Python-SPPL-code
https://bayesianbrad.github.io/posts/2018_An-introduction-to-pysppl.html#The-Graph
https://bayesianbrad.github.io/posts/2018_An-introduction-to-pysppl.html#The-dependency-graph
https://bayesianbrad.github.io/posts/2018_An-introduction-to-pysppl.html#Models-in-pure-python
https://bayesianbrad.github.io/posts/2018_An-introduction-to-pysppl.html#An-Example-of-the-Graph-G(V,E)
https://bayesianbrad.github.io/posts/2018_An-introduction-to-pysppl.html#Gaussian-Mixture-model
https://bayesianbrad.github.io/posts/2018_An-introduction-to-pysppl.html#The-code-output
https://bayesianbrad.github.io/posts/2018_An-introduction-to-pysppl.html#The-dependency-graph
https://bayesianbrad.github.io/posts/2018_An-introduction-to-pysppl.html#Coal-Mining-model
herehttps://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=7&ved=0ahUKEwibzpmXxeTbAhVIPhQKHRxGCVEQFghFMAY&url=https%3A%2F%2Fwiki.helsinki.fi%2Fdownload%2Fattachments%2F48865343%2FWB.pdf&usg=AOvVaw0Vx-U9LuQU4j9W-dnLpZgr
https://bayesianbrad.github.io/posts/2018_An-introduction-to-pysppl.html#The-dependency-graph
Andrea Patanèhttp://www.cs.ox.ac.uk/people/andrea.patane/
Sasha Salterhttp://ori.ox.ac.uk/mrg_people/sasha-salter/

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