X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

Resource Name
RRID:SCR_018547 RRID Copied      
PDF Report How to cite
PyMC3 (RRID:SCR_018547)
Copy Citation Copied
Resource Information

URL: https://docs.pymc.io/

Proper Citation: PyMC3 (RRID:SCR_018547)

Description: Software Python package for Bayesian statistical modeling and probabilistic machine learning which focuses on advanced Markov chain Monte Carlo and variational fitting algorithms. Allows model specification directly in Python code.

Resource Type: software toolkit, software resource

Defining Citation: DOI:10.7717/peerj-cs.55

Keywords: Bayesian statistical modeling, probabilistic machine learning, advanced Markov chain Monte Carlo, variational fitting algorithm, model specification, Python code

Expand All
Usage and Citation Metrics
We apologize, the data for 2022 is currently unavailable for most resources. We are aware of the issue and are working to resolve it.

We found {{ ctrl2.mentions.total_count }} mentions in open access literature.

We have not found any literature mentions for this resource.

We are searching literature mentions for this resource.

View full usage report

Most recent articles:

{{ mention._source.dc.creators[0].familyName }} {{ mention._source.dc.creators[0].initials }}, et al. ({{ mention._source.dc.publicationYear }}) {{ mention._source.dc.title }} {{ mention._source.dc.publishers[0].name }}, {{ mention._source.dc.publishers[0].volume }}({{ mention._source.dc.publishers[0].issue }}), {{ mention._source.dc.publishers[0].pagination }}. (PMID:{{ mention._id.replace('PMID:', '') }})

Checkfor all resource mentions.

Collaborator Network

A list of researchers who have used the resource and an author search tool

Find mentions based on location


{{ ctrl2.mentions.errors.location }}

A list of researchers who have used the resource and an author search tool. This is available for resources that have literature mentions.

Ratings and Alerts

No rating or validation information has been found for PyMC3.

No alerts have been found for PyMC3.

Data and Source Information