Multidimensional Probabilistic Rearrangement Invariant Spaces: A New Approach
arXiv:1202.3130
Abstract
We introduce and investigate in this paper a new convenient method of introduction of a norm in the multidimensional rearrangement probability invariant space.
References in corpus (3)
- Schlomilch and Bell Series for Bessel's Functions, with Probabilistic Applications
- Bide - Side Exponential and Moment Inequalities for Tails of Distributions of Polynomial Martingales
- Non-Improved Uniform Tail Estimates for Normed Sums of Independent Random Variables with Heavy Tails, with applications
Cited by in corpus (4)
- Relations between exponential tails, moments and moment generating functions for random variables and vectors
- Vector rearrangement invariant banach spaces of random variables with exponential decreasing tails of distributions
- Non-asymptotical sharp exponential estimates for maximum distribution of discontinuous random fields
- Grand Lebesgue Spaces norm estimates for multivariate functional operations