Results 31 to 40 of about 361 (49)
A Statistical Model for Analyzing Interdependent Complex of Plant Pathogens
We introduce a new approach for modeling multivariate overdispersed binomial data, from a plant pathogen complex. After recalling some theoretical foundations of generalized linear models (GLMs) and Copula functions, we show how the later can be used to ...
EDUARDO DÁVILA +2 more
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Switchable Copula-guided Transformer diffusion model for detecting small sea-surface targets
Detecting low, slow and small maritime targets remains difficult because sea clutter is non-uniform, non-stationary, non-Gaussian and often observed at extremely low signal-to-clutter ratios.
Chao Yu +3 more
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This study proposes Bayesian estimation of multivariate regular vine (R-vine) copula models with generalized autoregressive conditional heteroskedasticity (GARCH) margins modeled by Gaussian-mixture distributions.
Rewat Khanthaporn, Nuttanan Wichitaksorn
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We present a framework to compute non-Gaussian likelihoods for two-point correlation functions. The non-Gaussianity is most pronounced on large scales that will be well-measured by stage-IV weak-lensing surveys. We show how such a multivariate likelihood
Veronika Oehl, Tilman Tröster
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Using Tail Dependence on Copula-based Regression Models in Mixed Data [PDF]
This paper explores the efficacy of incorporating tail dependence into copula-based regression models applied to mixed health insurance data. Recognizing the limitations of traditional Generalized Linear Models (GLMs) in capturing the nuanced ...
Fatma Alshenawy
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High-quality synthetic datasets are critical for environmental monitoring due to the high cost of primary geochemical data collection. However, selection criteria for generative frameworks under small-sample constraints remain poorly defined.
Artem Liubas +3 more
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Vine Copula-Based Outage Analysis for Fluid Antenna RIS-NOMA Systems Over Nakagami-
Outage performance in multi-port fluid antenna (FA) systems is governed by the tail dependence between correlated ports, which Gaussian-copula models cannot capture.
Mohammad Al Bataineh, Zaid Albataineh
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MODELLING RANDOM COUPLES USING COPULAS MODELADO DE PAREJAS ALEATORIAS USANDO CÓPULAS
Copulas have become a useful tool for the multivariate modelling in both stochastics and statistics. In this article, fundamental properties that allow the characterization of the dependence structure of families of the bivariate distributions defined by
Escarela Gabriel, Hernández Angélica
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Modeling of Returns and Trading Volume by Regime Switching Copulas
The structure of links between realized volatility and trading volume can be reflected by regime switching copulas. The estimation by means of copula based regime switching models delivered results concerning the interdependencies between realized return
Henryk Gurgul +2 more
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Modelado de parejas aleatorias usando cópulas Modelling Random Couples Using Copulas
Las cópulas se han convertido en una herramienta útil para el modelado multivariado tanto estocástico como estadístico. En este artículo se revisan propiedades fundamentales de las cópulas que permitan caracterizar la estructura de dependencia de ...
GABRIEL ESCARELA, ANGÉLICA HERNÁNDEZ
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