An open source crash course on parameter estimation of computational models using a Bayesian optimization approach

Barzegari, Mojtaba; Geris, Liesbet

doi:10.21105/jose.00089

Download

Article (Scientific journals)

An open source crash course on parameter estimation of computational models using a Bayesian optimization approach

Barzegari, Mojtaba; Geris, Liesbet

2021 • In Journal of Open Source Education, 4 (40), p. 89

Peer reviewed

Permalink
https://hdl.handle.net/2268/292763

DOI
10.21105/jose.00089

Files (1)Send to Details Statistics Bibliography Similar publications

Files

Full Text

JOSE_2021_Barzegari.pdf

Author postprint (145.46 kB)

Download

All documents in ORBi are protected by a user license.

Send to

RIS BibTex APA Chicago Permalink X Linkedin

Details

Keywords :

General Medicine

Disciplines :

Engineering, computing & technology: Multidisciplinary, general & others

Author, co-author :

Barzegari, Mojtaba

Geris, Liesbet ; Université de Liège - ULiège > GIGA > GIGA In silico medecine - Biomechanics Research Unit

Language :

English

Title :

An open source crash course on parameter estimation of computational models using a Bayesian optimization approach

Publication date :

27 June 2021

Journal title :

Journal of Open Source Education

ISSN :

2577-3569

Publisher :

The Open Journal

Volume :

Issue :

Pages :

Peer reviewed :

Peer reviewed

Additional URL :

https://jose.theoj.org/papers/10.21105/jose.00089.pdf

Available on ORBi :

since 29 June 2022

Statistics

Number of views

181 (0 by ULiège)

Number of downloads

152 (0 by ULiège)

More statistics

OpenCitations

OpenAlex citations