Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics-Reference-Cited by-同舟云学术

Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics

Published:2022-10-21 Issue:1 Volume:13 Page:
ISSN:1942-4787
Container-title:WIREs Data Mining and Knowledge Discovery
language:en
Short-container-title:WIREs Data Min & Knowl

Author:

Marmolejo‐Ramos Fernando¹^ORCID,Tejo Mauricio²,Brabec Marek³,Kuzilek Jakub⁴⁵,Joksimovic Srecko¹,Kovanovic Vitomir¹^ORCID,González Jorge⁶,Kneib Thomas⁷,Bühlmann Peter⁸,Kook Lucas⁹¹⁰,Briseño‐Sánchez Guillermo¹¹,Ospina Raydonal¹²

Affiliation:

1. Centre for Change and Complexity in Learning University of South Australia Adelaide Australia

2. Instituto de Estadística Universidad de Valparaíso Valparaíso Chile

3. Department of Statistical Modelling Institute of Computer Science of the Czech Academy of Sciences Prague Czech Republic

4. Czech Institute of Informatics Robotics and Cybernetics, CTU Prague Czech Republic

5. Computer Science Education/Computer Science and Society Research Group Humboldt University of Berlin Berlin Germany

6. Departamento de Estadística Pontificia Universidad Católica de Chile Santiago de Chile Chile

7. Campus Institute Data Science (CIDAS) and Chair of Statistics Georg‐August‐Universität Göttingen Göttingen Germany

8. Seminar for Statistics, ETH Zürich Zürich Switzerland

9. Epidemiology, Biostatistics, and Prevention Institute University of Zurich Zurich Switzerland

10. Institute of Data Analysis and Process Design Zurich University of Applied Sciences Winterthur Switzerland

11. Department of Statistics TU Dortmund University Dortmund Germany

12. Department of Statistics, CASTLab Federal University of Pernambuco Recife Brazil

Funder

Akademie Věd České Republiky

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Deutsche Forschungsgemeinschaft

Fondo Nacional de Desarrollo Científico y Tecnológico

Grantová Agentura České Republiky

H2020 European Research Council

Universidad de Valparaíso

Publisher

Wiley

Subject

General Computer Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/widm.1479

Reference133 articles.

1. A new look at the statistical model identification

2. Explainable artificial intelligence: an analytical review

3. Robust analogs to the coefficient of variation

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