Theorems of large deviations in the multivariate invariance principle
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Publication:1192004
DOI10.1016/0047-259X(92)90071-MzbMath0753.60027MaRDI QIDQ1192004
Publication date: 27 September 1992
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
invariance principlelarge deviation probabilitiesestimates of the remainder termmultivariate invariance principle
Large deviations (60F10) Limit theorems for vector-valued random variables (infinite-dimensional case) (60B12)
Cites Work
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- Distribution of the norm of a multidimensional Wiener process
- Uniform convexity and the distribution of the norm for a Gaussian measure
- Estimates of the rate of approximation of independent random variables in a Banach space. I
- Rate of convergence in the invariance principle in Banach spaces
- On probabilities of large deviations in Banach spaces
- On Edgeworth expansions in Banach spaces
- Convergence rates of moments and related functionals in the invariance principle in Banach spaces
- Potential theory on Hilbert space
- On the Probabilities of Large Deviations for the Maximum of Sums of Independent Random Variables
- On Estimates of the Rate of Convergence in the Invariance Principle for Banach Spaces
- Analyticity of Gaussian Measures
- An approximation of partial sums of independent RV's, and the sample DF. II
- Boundary-value problems, the invariance principle, and large deviations
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