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Interpretable, non-mechanistic forecasting using empirical dynamic modeling and interactive visualiz...

Interpretable, non-mechanistic forecasting using empirical dynamic modeling and interactive visualiz...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2794626849

Interpretable, non-mechanistic forecasting using empirical dynamic modeling and interactive visualization

About this item

Full title

Interpretable, non-mechanistic forecasting using empirical dynamic modeling and interactive visualization

Publisher

United States: Public Library of Science

Journal title

PloS one, 2023-04, Vol.18 (4), p.e0277149

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Forecasting methods are notoriously difficult to interpret, particularly when the relationship between the data and the resulting forecasts is not obvious. Interpretability is an important property of a forecasting method because it allows the user to complement the forecasts with their own knowledge, a process which leads to more applicable result...

Alternative Titles

Full title

Interpretable, non-mechanistic forecasting using empirical dynamic modeling and interactive visualization

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2794626849

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2794626849

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0277149

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