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Causal Inference Using Global Forecasting Models for Counterfactual Prediction

conference contribution
posted on 2023-10-24, 03:08 authored by Priscila Grecov, Kasun Bandara, Christoph Bergmeir, Klaus Ackermann, Sam Campbell, David ScottDavid Scott, Dan Lubman
Causal Inference Using Global Forecasting Models for Counterfactual Prediction

History

Volume

12713

Pagination

282-294

Location

Delhi, India

Publisher DOI

Start date

2021-05-11

End date

2021-05-14

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

978-3-030-75764-9

Language

Eng.

Publication classification

E1 Full written paper - refereed

Editor/Contributor(s)

Karlapalem K, Cheng H, Ramakrishnan N, Agrawal RK, Reddy PK, Srivastava J, Chakraborty T

Title of proceedings

PAKDD 2021 : Proceedings 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining

Event

Knowledge Discovery and Data Mining. Conference (2021 : 25th : Delhi, India)

Publisher

Springer

Place of publication

Berlin, Germany

Series

Lecture Notes in Artificial Intelligence

Publication URL

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    Research Publications

    Categories

    Keywords

    Causal inferenceComputer ScienceComputer Science, Artificial IntelligenceComputer Science, Information SystemsComputer Science, Theory & MethodsCounterfactualGlobal forecastingScience & TechnologyTechnology

    Licence

    All Rights Reserved

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