Results 41 to 50 of about 11,382,347 (247)
Characterizing Wind Power Forecast Error Using Extreme Value Theory and Copulas
IEEE Access, 2022 Wind energy is one of the fastest-growing renewable energy sources in the world. However, wind power is variable in all timescales. This variability is difficult to predict with perfect certainty, with potentially significant financial implications when ...
Ndamulelo Mararakanye +2 more
doaj +1 more source
FEBS Letters, EarlyView.How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley +1 more source
Hazard analysis of typhoon-related external events using extreme value theory
Nuclear Engineering and Technology, 2015 Background: After the Fukushima accident, the importance of hazard analysis for extreme external events was raised. Methods: To analyze typhoon-induced hazards, which are one of the significant disasters of East Asian countries, a statistical analysis ...
Yochan Kim +2 more
doaj +1 more source
Molecular Oncology, EarlyView.Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park +6 more
wiley +1 more source
Modelling Extreme Rainfall in KwaZulu-Natal Province of South Africa Using Extreme Value Theory
Mathematical and Computational ApplicationsThis study reviews advanced extreme value theory techniques and applies them to extreme rainfall events recorded at two meteorological stations, Port Edward and Virginia, in the KwaZulu-Natal province of South Africa.
Hulisani Lutombo +2 more
doaj +1 more source
Estimating and Forecasting Conditional Risk Measures with Extreme Value Theory: A Review
Risks, 2018 One of the key components of financial risk management is risk measurement. This typically requires modeling, estimating and forecasting tail-related quantities of the asset returns’ conditional distribution.
Marco Bee, Luca Trapin
doaj +1 more source
Forecasting gains by using extreme value theory with realised GARCH filter
IIMB Management Review, 2021 Early empirical evidence suggests that the realised generalised autoregressive conditional heteroskedasticity (GARCH) model provides significant forecasting gains over the standard GARCH models in volatility forecasting.
Samit Paul, Prateek Sharma
doaj +1 more source
The VHL tumor suppressor at the crossroad of protein folding, aggregation, and cancer
Molecular Oncology, EarlyView.Mutations, environmental stress, and chaperone dysfunction can destabilize pVHL, promoting its conversion from the native folded state into amyloid‐like assemblies. This transition may contribute to protein storage, cell dormancy, survival, and drug resistance.
Lara Abad +2 more
wiley +1 more source
Water Resources ResearchThis study investigates changes in extreme precipitation across the eastern United States using hourly data from 127 stations collected between 1950 and 2023.
Colin P. Evans, Arthur T. DeGaetano
doaj +1 more source
When the U.S. Stock Market Becomes Extreme?
Risks, 2014 Over the last three decades, the world economy has been facing stock market crashes, currency crisis, the dot-com and real estate bubble burst, credit crunch and banking panics.
Sofiane Aboura
doaj +1 more source