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Bibliographic Details
Main Authors: Acar, Elif F., Lysy, Martin, Kuchinsky, Alan
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2403.18245
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author Acar, Elif F.
Lysy, Martin
Kuchinsky, Alan
author_facet Acar, Elif F.
Lysy, Martin
Kuchinsky, Alan
contents Conditional copulas models allow the dependence structure between multiple response variables to be modelled as a function of covariates. LocalCop (Acar & Lysy, 2024) is an R/C++ package for computationally efficient semiparametric conditional copula modelling using a local likelihood inference framework developed in Acar, Craiu, & Yao (2011), Acar, Craiu, & Yao (2013) and Acar, Czado, & Lysy (2019).
format Preprint
id arxiv_https___arxiv_org_abs_2403_18245
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle LocalCop: An R package for local likelihood inference for conditional copulas
Acar, Elif F.
Lysy, Martin
Kuchinsky, Alan
Computation
Methodology
62
Conditional copulas models allow the dependence structure between multiple response variables to be modelled as a function of covariates. LocalCop (Acar & Lysy, 2024) is an R/C++ package for computationally efficient semiparametric conditional copula modelling using a local likelihood inference framework developed in Acar, Craiu, & Yao (2011), Acar, Craiu, & Yao (2013) and Acar, Czado, & Lysy (2019).
title LocalCop: An R package for local likelihood inference for conditional copulas
topic Computation
Methodology
62
url https://arxiv.org/abs/2403.18245