Results 61 to 70 of about 89,598 (168)

Joint Probability Distribution of Wind–Wave Actions Based on Vine Copula Function

open access: yesJournal of Marine Science and Engineering
During its service life, a deep-sea floating structure is likely to encounter extreme marine disasters. The combined action of wind and wave loads poses a threat to its structural safety.
Yongtuo Wu   +3 more
doaj   +1 more source

Complex Versus Parsimonious Site‐Based Stochastic Ground Motion Models: Which One Is Better?

open access: yesEarthquake Engineering &Structural Dynamics, Volume 55, Issue 14, Page 3714-3731, November 2026.
ABSTRACT Stochastic ground motion models (GMMs) provide a probabilistic representation of seismic input and are increasingly important for uncertainty quantification (UQ) in earthquake engineering. This study focuses on site‐based stochastic GMMs, which learn the statistical features of selected datasets of seismic records and generate statistically ...
Maijia Su   +2 more
wiley   +1 more source

Vine Copulas as Differentiable Computational Graphs

open access: yesCoRR
Vine copulas are sophisticated models for multivariate distributions and are increasingly used in machine learning. To facilitate their integration into modern ML pipelines, we introduce the vine computational graph, a DAG that abstracts the multilevel vine structure and associated computations.
Tuoyuan Cheng   +3 more
openaire   +2 more sources

Effects of Drought and Heat on Vegetation Growth in Poyang Lake Basin

open access: yesMeteorological Applications, Volume 33, Issue 6, November/December 2026.
This study employs the Vine copula function (VCF) conditional probability model to systematically characterise the differential response patterns of various subregions and vegetation types within the Poyang Lake Basin to drought, high‐temperature, and compound dry–hot stress events across multiple intensity levels.
Chaochao Zhang, Huiming Han
wiley   +1 more source

Model distances for vine copulas in high dimensions [PDF]

open access: yesStatistics and Computing, 2017
Vine copulas are a flexible class of dependence models consisting of bivariate building blocks and have proven to be particularly useful in high dimensions. Classical model distance measures require multivariate integration and thus suffer from the curse of dimensionality.
Matthias Killiches   +2 more
openaire   +4 more sources

A Revision of Australian Anchiale Stål, 1875 (Phasmida: Phasmatidae), with the Description of Two New Species

open access: yesAustral Entomology, Volume 65, Issue 4, November 2026.
ABSTRACT The Australian species of the Phasmida genus Anchiale Stål, 1875 (Phasmatinae: Phasmatini) are updated to include five species: Anchiale albopunctata (Kirby, 1896) stat. rev. (removed from synonymy with A. briareus (Gray, 1834)); A. briareus Gray, 1834 (= Ctenomorpha tessulata Gray, 1835 syn. nov.; = A. austrotessulata Brock & Hasenpush, 2007,
Braxton R. Jones   +4 more
wiley   +1 more source

Assessing Efficiency of D-Vine Copula ARMA-GARCH Method in Value at Risk Forecasting: Evidence from PSE Listed Companies

open access: yesActa Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2015
The article points out the possibilities of using static D-Vine copula ARMA-GARCH model for estimation of 1 day ahead market Value at Risk. For the illustration we use data of the four companies listed on Prague Stock Exchange in range from 2010 to 2014.
Václav Klepáč, David Hampel
doaj   +1 more source

A State‐of‐the‐Art Study of Vortex‐Excited Vibration Problems in Large‐Span Flat Steel Box Girder Bridges

open access: yesEngineering Reports, Volume 8, Issue 10, October 2026.
The paper consists of four parts. Specially, the first part analyzes the wind challenges of large‐span bridges, including the formation mechanism of wind‐induced vibration disaster of large‐span bridges and typical cases, as well as the limitations of the current wind design codes. The second part reviews the analysis models and experimental techniques
Sai Gong   +4 more
wiley   +1 more source

A Copula‐Based Regression Method to Predict Sediment Concentration and Load in Rivers Using Streamflow Data

open access: yesWater Resources Research, Volume 62, Issue 9, September 2026.
Abstract Pollution and deposition of sediments in rivers and streams are critical environmental, ecological, navigational, and recreational concerns. While several well‐known watershed models such as SWAT (Soil and Water Assessment Tool) and HSPF (Hydrological Simulation Program‐FORTRAN) are applied to predict sediment concentrations and loads in ...
Ying Ouyang
wiley   +1 more source

When There's No November Rain: Developing a Parametric Insurance for Hydroelectric Energy Generators in Brazil

open access: yesRisk Analysis, Volume 46, Issue 9, September 2026.
ABSTRACT Hydrological risk is a growing challenge for renewable power systems, as droughts reduce generation, increase costs, and expose gaps in risk‐transfer mechanisms. We examine this problem in Brazil, home to the world's sixth‐largest electricity system and highly dependent on hydroelectricity, which accounted for 43% of installed generation ...
Nathalia Costa Fonseca   +3 more
wiley   +1 more source

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