References#
Bibliographic entries cited across the theory notes, tutorials, and user guide.
Inline citations use {ref}Key
Artzner1999. Artzner, P., Delbaen, F., Eber, J.-M., & Heath, D. (1999). Coherent measures of risk. Mathematical Finance, 9(3), 203–228.
Cappe2009. Cappé, O. & Moulines, E. (2009). On-line expectation-maximization algorithm for latent data models. Journal of the Royal Statistical Society: Series B, 71(3), 593–613.
Dempster1977. Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society: Series B, 39(1), 1–38.
Hu2005. Hu, W. (2005). Calibration of multivariate generalized hyperbolic distributions using the EM algorithm.
Jorgensen2012. Jørgensen, B. (2012). Statistical Properties of the Generalized Inverse Gaussian Distribution. Springer.
McNeil2010. McNeil, A. J., Frey, R., & Embrechts, P. (2010). Quantitative Risk Management. Princeton University Press.
Meucci2010. Meucci, A. (2010). Managing diversification. Risk Magazine, 22(5), 74–79.
Meucci2014. Meucci, A., Santangelo, A., & Deguest, R. (2014). Measuring portfolio diversification based on optimized uncorrelated factors. SSRN Electronic Journal.
Protassov2004. Protassov, R. S. (2004). EM-based maximum likelihood parameter estimation for multivariate generalized hyperbolic distributions.
RauHasanov2004. Rau-Bredow, H. (2004). Value-at-risk, expected shortfall, and marginal risk contribution. In Risk Measures for the 21st Century, Wiley.
Shi2016. Shi, X. (2016). Generalized Hyperbolic Distributions and Related Topics. PhD Thesis.
Stankyavichyus2026. Stankyavichyus, A. V. (2026). Varentropy: Overview, Computational Routes, and Structural Decomposition. Preprint.
Tasche1999. Tasche, D. (1999). Risk contributions and performance measurement. Report of the Lehrstuhl für mathematische Statistik, TU München.
Tortora2013. Tortora, C., McNicholas, P. D., & Browne, R. P. (2013). Mixtures of multivariate generalized hyperbolic distributions.