Results 51 to 60 of about 292 (177)
D-vine copula based quantile regression [PDF]
Quantile regression, that is the prediction of conditional quantiles, has steadily gained importance in statistical modeling and financial applications. The authors introduce a new semiparametric quantile regression method based on sequentially fitting a likelihood optimal D-vine copula to given data resulting in highly flexible models with easily ...
Daniel Kraus, Claudia Czado
openaire +3 more sources
Bivariate postprocessing of wind vectors
We introduce three novel bivariate postprocessing approaches and analyze their performance for joint postprocessing of bivariate wind‐vector components in Germany. Bivariate vine‐copula‐based models, a bivariate gradient‐boosted version of ensemble model output statistics (EMOS), and a bivariate distributional regression network (DRN) are compared with
Ferdinand Buchner +3 more
wiley +1 more source
The increasing global reliance on wind and solar energy underscores the critical vulnerability of renewable systems to extreme weather, which can severely disrupt power generation.
Maashele Kholofelo Metwane +2 more
doaj +1 more source
Explaining predictive models using Shapley values and non-parametric vine copulas
In this paper the goal is to explain predictions from complex machine learning models. One method that has become very popular during the last few years is Shapley values.
Aas Kjersti +3 more
doaj +1 more source
Risk return of forward contracting corn with crop insurance
Abstract Forward contracting is a common pre‐harvest marketing strategy for row crops, with evidence suggesting higher prices during summer months due to embedded weather risk premiums. While aggressive forward contracting increases farmers' yield risk and potential non‐delivery penalties, crop revenue protection can help offset these financial burdens.
Chandan Bhattarai +4 more
wiley +1 more source
ABSTRACT Sociolinguistic research has long documented the appropriation of African American Vernacular English (AAVE) across media including film, music and advertising. In this article, we add to this body of work by exploring the digital recontextualisation of a subset of AAVE features as ‘TikTok/internet language’.
Christian Ilbury, Rianna Walcott
wiley +1 more source
Abstract Large‐scale vegetation restoration is reshaping belowground systems globally, yet root dynamics remain poorly quantified, limiting predictions of ecosystem resilience to hydroclimatic variability. Rooting depth reflects a trade‐off between carbon benefits and respiratory costs, but assessment is hampered by soil‐moisture uncertainty and weak ...
Tongxuan Su +4 more
wiley +1 more source
Post‐metamorphic gonadal development in Xenopus tropicalis was analyzed through integrated morphometric, histological, and transcriptional approaches. Males showed upregulation of cyp17, amh, and amhr2, whereas females exhibited an increased aldh1a2 and ddx4.
Daniele Marini +3 more
wiley +1 more source
Modeling Dependence with C- and D-Vine Copulas: The R Package CDVine
Flexible multivariate distributions are needed in many areas. The popular multivariate Gaussian distribution is however very restrictive and cannot account for features like asymmetry and heavy tails.
Eike Christian Brechmann +1 more
doaj
Tail Risk in Weather Derivatives
Weather derivative markets, particularly Chicago Mercantile Exchange (CME) Heating Degree Day (HDD) and Cooling Degree Day (CDD) futures, face challenges from complex temperature dynamics and spatially heterogeneous co-extremes that standard Gaussian ...
Tuoyuan Cheng +2 more
doaj +1 more source

