Results 1 to 10 of about 95 (94)

Discovery of critical thresholds in mixed exposures and estimation of policy intervention effects [PDF]

open access: yesJournal of Causal Inference
Regulations of chemical exposures often focus on individual substances, neglecting the amplified toxicity that can arise from multiple concurrent exposures.
McCoy David B.   +3 more
doaj   +2 more sources

A combinatorial proof of the Gaussian product inequality beyond the MTP2 case

open access: yesDependence Modeling, 2022
A combinatorial proof of the Gaussian product inequality (GPI) is given under the assumption that each component of a centered Gaussian random vector X=(X1,…,Xd){\boldsymbol{X}}=\left({X}_{1},\ldots ,{X}_{d}) of arbitrary length can be written as a ...
Genest Christian, Ouimet Frédéric
doaj   +1 more source

Generating unfavourable VaR scenarios under Solvency II with patchwork copulas

open access: yesDependence Modeling, 2021
The central idea of the paper is to present a general simple patchwork construction principle for multivariate copulas that create unfavourable VaR (i.e. Value at Risk) scenarios while maintaining given marginal distributions.
Pfeifer Dietmar, Ragulina Olena
doaj   +1 more source

Checkerboard copula defined by sums of random variables

open access: yesDependence Modeling, 2020
We consider the problem of finding checkerboard copulas for modeling multivariate distributions. A checkerboard copula is a distribution with a corresponding density defined almost everywhere by a step function on an m-uniform subdivision of the unit ...
Kuzmenko Viktor   +2 more
doaj   +1 more source

Fast inference methods for high-dimensional factor copulas

open access: yesDependence Modeling, 2022
Gaussian factor models allow the statistician to capture multivariate dependence between variables. However, they are computationally cumbersome in high dimensions and are not able to capture multivariate skewness in the data.
Verhoijsen Alex, Krupskiy Pavel
doaj   +1 more source

A Model for Liver Homeostasis Using Modified Mean‐Reverting Ornstein–Uhlenbeck Process

open access: yesComputational and Mathematical Methods in Medicine, Volume 11, Issue 1, Page 27-47, 2010., 2010
Short of a liver biopsy, hepatic disease and drug‐induced liver injury are diagnosed and classified from clinical findings, especially laboratory results. It was hypothesized that a healthy hepatic dynamic equilibrium might be modelled by an Ornstein–Uhlenbeck (OU) stochastic process, which might lead to more sensitive and specific diagnostic criteria.
D. C. Trost   +4 more
wiley   +1 more source

New copulas based on general partitions-of-unity and their applications to risk management (part II)

open access: yesDependence Modeling, 2017
We present a constructive and self-contained approach to data driven infinite partition-of-unity copulas that were recently introduced in the literature.
Pfeifer Dietmar   +2 more
doaj   +1 more source

On a zonal polynomial integral

open access: yesJournal of Applied Mathematics, Volume 2003, Issue 11, Page 569-573, 2003., 2003
A certain multiple integral occurring in the studies of Beherens‐Fisher multivariate problem has been evaluated by Mathai et al. (1995) in terms of invariant polynomials. However, this paper explicitly evaluates the context integral in terms of zonal polynomials, thus establishing a relationship between zonal polynomial integrals and invariant ...
A. K. Gupta, D. G. Kabe
wiley   +1 more source

On certain transformations of Archimedean copulas: Application to the non-parametric estimation of their generators

open access: yesDependence Modeling, 2013
We study the impact of certain transformations within the class of Archimedean copulas. We give some admissibility conditions for these transformations, and define some equivalence classes for both transformations and generators of Archimedean copulas ...
Di Bernardino Elena, Rullière Didier
doaj   +1 more source

Bayesian estimation of generalized partition of unity copulas

open access: yesDependence Modeling, 2020
This paper proposes a Bayesian estimation algorithm to estimate Generalized Partition of Unity Copulas (GPUC), a class of nonparametric copulas recently introduced by [18].
Masuhr Andreas, Trede Mark
doaj   +1 more source

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