• Source: ArviZ

ArviZ ( AR-vees) is a Python package for exploratory analysis of Bayesian models. It is specifically designed to work with the output of probabilistic programming libraries like PyMC, Stan, and others by providing a set of tools for summarizing and visualizing the results of Bayesian inference in a convenient and informative way. ArviZ also provides a common data structure for manipulating and storing data commonly arising in Bayesian analysis, like posterior samples or observed data.
ArviZ is an open source project, developed by the community and is an affiliated project of NumFOCUS. and it has been used to help interpret inference problems in several scientific domains, including astronomy, neuroscience, physics and statistics.




Etymology


The ArviZ name is derived from reading "rvs" (the short form of random variates) as a word instead of spelling it and also using the particle "viz" usually used to abbreviate visualization.




Exploratory analysis of Bayesian models


When working with Bayesian models there are a series of related tasks that need to be addressed besides inference itself:

Diagnoses of the quality of the inference, this is needed when using numerical methods such as Markov chain Monte Carlo techniques
Model criticism, including evaluations of both model assumptions and model predictions
Comparison of models, including model selection or model averaging
Preparation of the results for a particular audience
All these tasks are part of the Exploratory analysis of Bayesian models approach, and successfully performing them is central to the iterative and interactive modeling process. These tasks require both numerical and visual summaries.




Library features


InferenceData object for Bayesian data manipulation. This object is based on xarray
Plots using two alternative backends matplotlib or bokeh
Numerical summaries and diagnostics for Markov chain Monte Carlo methods.
Integration with established probabilistic programming languages including; PyStan (the Python interface of Stan), PyMC, Edward Pyro, and easily integrated with novel or bespoke Bayesian analyses. ArviZ is also available in Julia, using the ArviZ.jl interface




See also


Bambi is a high-level Bayesian model-building interface based on PyMC
PyMC a probabilistic programming language written in Python
Stan is a probabilistic programming language for statistical inference written in C++




References






External links


ArviZ web site
• Source: Arviz

Arviz (Persian: ارويز) may refer to:

Arviz, Birjand
Arviz, Nehbandan

Kata Kunci Pencarian:

• ArviZ
• Arviz
• Arviz, Nehbandan
• Arviz, Birjand
• Bayesian statistics
• Empirical distribution function
• Bambi (software)
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• List of songs recorded by K. S. Chithra
• PyMC