Using Differentiable Programming for Flexible Statistical Modeling-Reference-Cited by-同舟云学术

Using Differentiable Programming for Flexible Statistical Modeling

Published:2021-12-21 Issue: Volume: Page:1-10
ISSN:0003-1305
Container-title:The American Statistician
language:en
Short-container-title:The American Statistician

Author:

Hackenberg Maren¹^ORCID,Grodd Marlon¹,Kreutz Clemens¹,Fischer Martina²,Esins Janina²,Grabenhenrich Linus²,Karagiannidis Christian³,Binder Harald¹

Affiliation:

1. Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Germany;;

2. Robert-Koch-Institut, Berlin, Germany;;

3. Department of Pneumology and Critical Care Medicine, Cologne-Merheim Hospital, ARDS and ECMO Center, Kliniken der Stadt Köln, Witten/Herdecke University Hospital, Cologne, Germany

Funder

DFG (German Research Foundation

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00031305.2021.2002189

Reference37 articles.

1. Julia: A Fresh Approach to Numerical Computing

2. Adifor 2.0: automatic differentiation of Fortran 77 programs

3. Mathematical Epidemiology

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