Using Differentiable Programming for Flexible Statistical Modeling

DOI10.1080/00031305.2021.2002189OpenAlexW3212410915MaRDI QIDQ5050844

Christian Karagiannidis, Martina Fischer, Janina Esins, Marlon Grodd, Clemens Kreutz, Maren Hackenberg, Linus Grabenhenrich, Harald Binder

Publication date: 18 November 2022

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2012.05722

zbMATH Keywords

optimizationdifferential equationsmachine learningworkflow

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• Unnamed Item
• Fahrmeir
• Julia
• TensorFlow
• DiffSharp
• Adam
• Yao.jl

Cites Work

• Mathematical epidemiology.
• Statistical modeling: The two cultures. (With comments and a rejoinder).
• Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors)
• Julia: A Fresh Approach to Numerical Computing
• Prediction, Estimation, and Attribution
• Learning representations by back-propagating errors
• Multivariate statistical modelling based on generalized linear models.

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