Rate of strong Gaussian approximation for sums of i.i.d. multidimensional random vectors
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Publication:2452923
DOI10.1007/s10958-009-9682-xzbMath1288.60039OpenAlexW2165776490MaRDI QIDQ2452923
Publication date: 6 June 2014
Published in: Journal of Mathematical Sciences (New York) (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10958-009-9682-x
Gaussian processes (60G15) Sums of independent random variables; random walks (60G50) Strong limit theorems (60F15) Functional limit theorems; invariance principles (60F17)
Related Items (6)
Asymptotic Behavior of Solutions of Some Difference Equations Defined by Weakly Dependent Random Vectors ⋮ The estimation of traffic intensity parameter for a single-channel queueing system with regenerative input flow ⋮ Estimates for the rate of strong approximation in Hilbert space ⋮ A general estimate in the invariance principle ⋮ Toward the history of the Saint St. Petersburg school of probability and statistics. I: Limit theorems for sums of independent random variables ⋮ The accuracy of strong Gaussian approximation for sums of independent random vectors
Cites Work
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- Strong invariance principles for partial sums of independent random vectors
- Extensions of results of Komlós, Major, and Tusnády to the multivariate case
- Upper and lower functions for martingales and mixing processes
- Approximation theorems for independent and weakly dependent random vectors
- An improvement of Strassen's invariance principle
- On the invariance principle for sums of independent identically distributed random variables
- Rates of clustering in Strassen's LIL for partial sum processes
- Strong approximation theorems for independent random variables and their applications
- On a problem of Csörgö and Révész
- On the accuracy of normal approximation in the invariance principle
- A new strong invariance principle for sums of independent random vectors
- THE KOMLÓS-MAJOR-TUSNÁDY APPROXIMATIONS AND THEIR APPLICATIONS
- On Estimates of the Rate of Convergence in the Invariance Principle for Banach Spaces
- An approximation of partial sums of independent RV'-s, and the sample DF. I
- On the Rate of Convergence for the Invariance Principle
- The approximation of partial sums of independent RV's
- Approximation of partial sums of i.i.d.r.v.s when the summands have only two moments
- On the tail behavior of sums of independent random variables
- Multidimensional Version of a Result of Sakhanenko in the Invariance Principle for Vectors with Finite Exponential Moments. I
- Multidimensional version of the results of Komlos, Major and Tusnady for vectors with finite exponential moments
- A new method to prove strassen type laws of invariance principle. 1
- An invariance principle for the law of the iterated logarithm
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