On discrete Gibbs measure approximation to runs
From MaRDI portal
Publication:5079875
DOI10.1080/03610926.2020.1765256OpenAlexW3031142456MaRDI QIDQ5079875
Publication date: 30 May 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1701.03294
Asymptotic distribution theory in statistics (62E20) Statistics (62-XX) Probability distributions: general theory (60E05) Combinatorial probability (60C05) Approximations to statistical distributions (nonasymptotic) (62E17)
Related Items (2)
Generalizations of distributions related to \((k_1,k_2)\)-runs ⋮ A unified approach to Stein's method for stable distributions
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Approximation methods in probability theory
- Stein's method for comparison of univariate distributions
- Pseudo-binomial approximation to \((k_1, k_2)\)-runs
- On a modified binomial distribution of order k
- On the rate of convergence in the multivariate CLT
- Stein's method for discrete Gibbs measures
- Distributions related to \((k_{1},k_{2})\) events
- A generalized geometric distribution and some of its properties
- Stein's method for diffusion approximations
- Compound Poisson approximation for nonnegative random variables via Stein's method
- Waiting time distributions associated with runs of fixed length in two-state Markov chains
- Closed form summation for classical distributions: variations on a theme of de Moivre
- On Stein operators for discrete approximations
- Shortest and longest length of success runs in binary sequences
- Two-parametric compound binomial approximations.
- Normal Approximations with Malliavin Calculus
- Normal Approximation by Stein’s Method
- Distribution Theory of Runs: A Markov Chain Approach
- On perturbations of Stein operator
- Poisson approximation for (k1, k2)-events via the Stein-Chen method
- On Negative Binomial Approximation
- On discrete distributions of order k
- Successes, runs and longest runs
- Distributions of numbers of success runs of fixed length in Markov dependent trials
This page was built for publication: On discrete Gibbs measure approximation to runs
