Zobrazeno 1 - 10
of 43 102
pro vyhledávání: '"Predictability"'
Autor:
Bilgecan Şen, Christian Che‐Castaldo, Heather J. Lynch, Francesco Ventura, Michelle A. LaRue, Stéphanie Jenouvrier
Publikováno v:
Methods in Ecology and Evolution, Vol 15, Iss 10, Pp 1834-1846 (2024)
Abstract Many ecological systems dominated by stochastic dynamics can produce complex time series that inherently limit forecast accuracy. The ‘intrinsic predictability’ of these systems can be approximated by a time series complexity metric call
Externí odkaz:
https://doaj.org/article/a106686713814bbf88f03a84bf6414e3
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Humans display a remarkable tendency to cooperate with strangers; however, identifying prospective cooperation partners accurately before entering any new relationship is essential to mitigate the risk of being exploited. Visual appearance,
Externí odkaz:
https://doaj.org/article/3259998c789f44e587c040dfcb82c91a
Publikováno v:
Financial Innovation, Vol 10, Iss 1, Pp 1-27 (2024)
Abstract We propose a new predictor—the innovation in the daily return minimum in the U.S. stock market ( $$\Delta {MIN}^{US}$$ Δ MIN US )—for predicting international stock market returns. Using monthly data for a wide range of 17 MSCI internat
Externí odkaz:
https://doaj.org/article/23476af5fbeb4a4ab1b1a5bf850f58d5
Autor:
Chan, Cora
Publikováno v:
Deference in Human Rights Adjudication.
Externí odkaz:
https://doi.org/10.1093/9780198921677.003.0006
Publikováno v:
Studies in Economics and Finance, 2023, Vol. 41, Issue 3, pp. 478-501.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/SEF-02-2023-0070
Autor:
Floris van der Flier, Dave Estell, Sina Pricelius, Lydia Dankmeyer, Sander van Stigt Thans, Harm Mulder, Rei Otsuka, Frits Goedegebuur, Laurens Lammerts, Diego Staphorst, Aalt D.J. van Dijk, Dick de Ridder, Henning Redestig
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 3489-3497 (2024)
Protein engineering increasingly relies on machine learning models to computationally pre-screen promising novel candidates. Although machine learning approaches have proven effective, their performance on prospective screening data leaves room for i
Externí odkaz:
https://doaj.org/article/88f0342ceb3642ada11fbbe3b130864d
Akademický článek
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Autor:
Marco Haase, Jacqueline Henn
Publikováno v:
Commodities, Vol 3, Iss 3, Pp 334-354 (2024)
This study introduces a robust model that captures wheat futures’ volatility dynamics, influenced by seasonality, time to maturity, and storage dynamics, with minimal calibratable parameters. Our approach reduces error-proneness and enhances plausi
Externí odkaz:
https://doaj.org/article/a8ff3eed041a4fb1963f082c9dd35861