Quantitative Fourth Moment Theorem of Functions on the Markov Triple and Orthogonal Polynomials
In this paper, we consider a quantitative fourth moment theorem for functions (random variables) defined on the Markov triple E,μ,Γ, where μ is a probability measure and Γ is the carré du champ operator. A new technique is developed to derive the fourth moment bound in a normal approximation on the...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Journal of Function Spaces |
| Online Access: | http://dx.doi.org/10.1155/2021/9408651 |
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