Work

APT-MCMC, a C++/Python implementation of Markov Chain Monte Carlo for parameter identification

Year: 2017

Type: article

Source: Computers & Chemical Engineering

DOI: 10.1016/j.compchemeng.2017.11.011

Authors: Li Ang Zhang, Alisa Urbano, Gilles Clermont, David Swigon, Ipsita Banerjee, Robert S. Parker

Institutions: University of Pittsburgh, University of North Carolina at Chapel Hill, University of Pittsburgh Medical Center, McGowan Institute for Regenerative Medicine

Language: English

Topic: Markov Chains and Monte Carlo Methods

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funders: U.S. Department of Education, National Institutes of Health, National Institute of General Medical Sciences

Awards: Model-Based Decisions in Sepsis, G3436743611

OpenAlex ID: W2768001799

FWCI: 0.571

Cites: 20

Cited by: 9

Related to: 10