Estimation and Simulation of the Riesz-Bessel Distribution
DOI10.1080/03610920500200295zbMath1077.62011OpenAlexW1990725850MaRDI QIDQ5697387
V. V. Anh, C. Pesee, Ross S. McVinish
Publication date: 17 October 2005
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://eprints.qut.edu.au/6503/1/6503_2.pdf
Lévy motionapproximate maximum likelihoodmixtures of exponential distributionsgeneralized Gamma convolutionsexchange rate modelssimulation of random variablesGCMEDRiesz-Bessel distribution
Applications of statistics to actuarial sciences and financial mathematics (62P05) Point estimation (62F10) Exact distribution theory in statistics (62E15) Auctions, bargaining, bidding and selling, and other market models (91B26) Random number generation in numerical analysis (65C10)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Computing the probability density function of the stable Paretian distribution
- Generalized gamma convolutions and related classes of distributions and densities
- A multivariate Linnik distribution
- Quasi-likelihood and its application. A general approach to optimal parameter estimation
- Computer simulation of geometric stable distributions
- Fractional moment estimation of Linnik and Mittag-Leffler parameters
- The Riesz-Bessel fractional diffusion equation
- A mixture representation of the Linnik distribution
- On the Chambers-Mallows-Stuck method for simulating skewed stable random variables
- Time Changes for Lévy Processes
- Regression-Type Estimation of the Parameters of Stable Laws
- The estimation of the parameters of the stable laws
- A Method for Simulating Stable Random Variables
- Extensions of Type G and Marginal Infinite Divisibility
- Linnik distributions and processes
- Estimation in Univariate and Multivariate Stable Distributions
- Diffusion Equation and Stochastic Processes
This page was built for publication: Estimation and Simulation of the Riesz-Bessel Distribution