Covariance model simulation using regular vines
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Publication:1695739
DOI10.1007/s11336-017-9569-6zbMath1402.62093OpenAlexW2609443436WikidataQ38821659 ScholiaQ38821659MaRDI QIDQ1695739
Steffen Grønneberg, Njål Foldnes
Publication date: 8 February 2018
Published in: Psychometrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11336-017-9569-6
Software, source code, etc. for problems pertaining to statistics (62-04) Characterization and structure theory for multivariate probability distributions; copulas (62H05)
Related Items (4)
On identification and non-normal simulation in ordinal covariance and item response models ⋮ Theoretical considerations when simulating data from the g‐and‐h family of distributions ⋮ Factor tree copula models for item response data ⋮ Partial identification of latent correlations with binary data
Uses Software
Cites Work
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- Selecting and estimating regular vine copulae and application to financial returns
- On the distributional transform, Sklar's theorem, and the empirical copula process
- How general is the Vale-Maurelli simulation approach?
- On the simplified pair-copula construction -- simply useful or too simplistic?
- Simulating multivariate nonnormal distributions
- The comparison method for stochastic processes
- Vines -- a new graphical model for dependent random variables.
- Autoregressive to anything: Time-series input processes for simulation
- Copula-Based Multivariate Input Models for Stochastic Simulation
- Dependence Modeling with Copulas
- Generation of Pseudorandom Numbers with Specified Univariate Distributions and Correlation Coefficients
- Asymptotically distribution‐free methods for the analysis of covariance structures
- SYSTEMS OF FREQUENCY CURVES GENERATED BY METHODS OF TRANSLATION
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