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Volatility and quantile forecasts by realized stochastic volatility models with generalized hyperbolic distribution

International Journal of Forecasting, 2016
Makoto Takahashi   +2 more
exaly  

Nonparametric Risk Management With Generalized Hyperbolic Distributions

Journal of the American Statistical Association, 2008
Seok-Oh Jeong
exaly  

On the property of multivariate generalized hyperbolic distribution and the Stein-type inequality

Communications in Statistics - Theory and Methods, 2018
Jing Yao
exaly  

Multivariate regression models with measurement errors under generalized hyperbolic distributions

Measurement error models (MEMs), also known as errors-in-variables models, are useful tools used to describe various phenomena across multiple disciplines. MEMs establish functional relationships among variables that are observed with random measurement errors. This thesis focuses on studying the multivariate linear regression model when covariates are
openaire   +1 more source

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