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Akademický článek
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Autor:
James Nguyen
Publikováno v:
Science. 378:1179-1179
Escaping the realm of simplified systems is difficult but necessary, argues a statistician
Publikováno v:
Sport Management Education Journal. :1-7
Autor:
Erica Thompson
Why mathematical models are so often wrong, and how we can make better decisions by accepting their limits Whether we are worried about the spread of COVID-19 or making a corporate budget, we depend on mathematical models to help us understand the wo
Probability distribution functions (PDFs) are widely used in projections of future climate, projections of the impacts of future climate, and by climate services aiming to provide information to support practical climate change adaptation. Furthermor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7a304d679aced4175f49ae8c4c925c1
https://doi.org/10.5194/egusphere-egu22-2356
https://doi.org/10.5194/egusphere-egu22-2356
Autor:
Mathias Frisch, James S. Risbey, Erica Thompson, JK Joel Katzav, Seamus Bradley, David A. Stainforth
Publikováno v:
Climatic Change. 169
When do probability distribution functions (PDFs) about future climate misrepresent uncertainty? How can we recognise when such misrepresentation occurs and thus avoid it in reasoning about or communicating our uncertainty? And when we should not use
Publikováno v:
IASL Annual Conference Proceedings.
The prominence of technology in STEM education provides opportunities for teacher librarians to collaborate with teachers across multiple disciplines and embrace leadership roles through integrating digital tools for teaching and learning. This prese
Autor:
Valeria Jana Schwanitz, Detlef P. van Vuuren, Céline Guivarch, Erica Thompson, Elmar Kriegler, Bas van Ruijven, Charlie Wilson, Volker Krey
Publikováno v:
Climatic Change, 166(1-2), 1. Springer Netherlands
Climatic Change
Climatic Change, Springer Verlag, 2021, 166 (1-2), ⟨10.1007/s10584-021-03099-9⟩
Climatic Change
Climatic Change, Springer Verlag, 2021, 166 (1-2), ⟨10.1007/s10584-021-03099-9⟩
Process-based integrated assessment models (IAMs) project long-term transformation pathways in energy and land-use systems under what-if assumptions. IAM evaluation is necessary to improve the models’ usefulness as scientific tools applicable in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3147f5aab0b8f9d9c1f1af324beab470
https://pure.iiasa.ac.at/id/eprint/17879/
https://pure.iiasa.ac.at/id/eprint/17879/
Autor:
FILDES, ROBERT1 r.fildes@lancaster.ac.uk
Publikováno v:
Foresight: The International Journal of Applied Forecasting. 2023 Q4, Issue 71, p66-68. 3p.
Autor:
Erica Thompson
It is well-understood that mathematical models are developed with the aid of expert judgement about the relevant real-world processes. Here, I first consider the influence of the mathematical model itself upon our expert judgement. Having established
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::054373e97e4f20f6d6a6fd87dd9c9222
https://doi.org/10.21203/rs.3.rs-234517/v1
https://doi.org/10.21203/rs.3.rs-234517/v1