Work

uravu: Making Bayesian modelling easy(er)

Year: 2020

Type: article

Abstract: uravu offers an easy to use interface for data analysis using Bayesian modelling in the Python programming language, aiming to make Bayesian modelling as easy to use as the scipy.optimize.curve_fit()method.This software acts to lower the barrier of entry to the use of packages such as:

Source: The Journal of Open Source Software

DOI: 10.21105/joss.02214

Authors: Andrew McCluskey, Tim Snow

Institutions: Rutherford Appleton Laboratory, Diamond Light Source, University of Bath, University of Bristol

Language: English

Topic: Computational Physics and Python Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funders: UK Atomic Energy Authority, Diamond Light Source, UK Research and Innovation, Science and Technology Facilities Council

OpenAlex ID: W3033496072