The Zoltar forecast archive, a tool to standardize and store interdisciplinary prediction research

Abstract Forecasting has emerged as an important component of informed, data-driven decision-making in a wide array of fields. We introduce a new data model for probabilistic predictions that encompasses a wide range of forecasting settings. This framework clearly defines the constituent parts of a...

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Autores principales: Nicholas G. Reich, Matthew Cornell, Evan L. Ray, Katie House, Khoa Le
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/be7aeb3e86c243b7b92bcddfd06f1baa
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