The variance-gamma distribution: A review
A Fischer, RE Gaunt, A Sarantsev - arXiv preprint arXiv:2303.05615, 2023 - arxiv.org
The variance-gamma (VG) distributions form a four-parameter family which includes as
special and limiting cases the normal, gamma and Laplace distributions. Some of the …
special and limiting cases the normal, gamma and Laplace distributions. Some of the …
[HTML][HTML] Bounding Kolmogorov distances through Wasserstein and related integral probability metrics
RE Gaunt, S Li - Journal of Mathematical Analysis and Applications, 2023 - Elsevier
We establish general upper bounds on the Kolmogorov distance between two probability
distributions in terms of the distance between these distributions as measured with respect …
distributions in terms of the distance between these distributions as measured with respect …
[HTML][HTML] On the moments of the variance-gamma distribution
RE Gaunt - Statistics & Probability Letters, 2023 - Elsevier
On the moments of the variance-gamma distribution - ScienceDirect Skip to main contentSkip
to article Elsevier logo Journals & Books Search RegisterSign in View PDF Download full …
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Causal analysis and prevention measures for extreme heavy rainstorms in Zhengzhou to protect human health
Q Xu, L Han, K Xu - Behavioral Sciences, 2022 - mdpi.com
This study focused on the extreme heavy rainstorm that occurred in Zhengzhou in July 2021;
approximately 380 people were killed or missing as a result of this storm. To investigate the …
approximately 380 people were killed or missing as a result of this storm. To investigate the …
Stein factors for variance-gamma approximation in the Wasserstein and Kolmogorov distances
RE Gaunt - Journal of Mathematical Analysis and Applications, 2022 - Elsevier
We obtain new bounds for the solution of the variance-gamma (VG) Stein equation that are
of the correct form for approximations in terms of the Wasserstein and Kolmogorov metrics …
of the correct form for approximations in terms of the Wasserstein and Kolmogorov metrics …
On the cumulative distribution function of the variance-gamma distribution
RE Gaunt - Bulletin of the Australian Mathematical Society, 2024 - cambridge.org
We obtain exact formulas for the cumulative distribution function of the variance-gamma
distribution, as infinite series involving the modified Bessel function of the second kind and …
distribution, as infinite series involving the modified Bessel function of the second kind and …
[HTML][HTML] Convergence rate analysis in limit theorems for nonlinear functionals of the second Wiener chaos
GR Liu - Stochastic Processes and their Applications, 2024 - Elsevier
This paper analyzes the distribution distance between random vectors from the analytic
wavelet transform of squared envelopes of Gaussian processes and their large-scale limits …
wavelet transform of squared envelopes of Gaussian processes and their large-scale limits …
Absolute moments of the variance-gamma distribution
RE Gaunt - arXiv preprint arXiv:2404.13709, 2024 - arxiv.org
We obtain exact formulas for the absolute raw and central moments of the variance-gamma
distribution, as infinite series involving the modified Bessel function of the second kind and …
distribution, as infinite series involving the modified Bessel function of the second kind and …
Gaussian Approximation for the Moving Averaged Modulus Wavelet Transform and its Variants
GR Liu, YC Sheu, HT Wu - arXiv preprint arXiv:2301.01540, 2023 - arxiv.org
The moving average of the complex modulus of the analytic wavelet transform provides a
robust time-scale representation for signals to small time shifts and deformation. In this work …
robust time-scale representation for signals to small time shifts and deformation. In this work …
[PDF][PDF] Some Contributions to Stein's Method and the Theory of Probability Distributions
S Li - 2024 - research.manchester.ac.uk
Abstract In 1972, Charles Stein introduced a novel approach to deriving distributional
approximations in probability theory, allowing one to obtain explicit bounds with respect to a …
approximations in probability theory, allowing one to obtain explicit bounds with respect to a …