arXiv · 1810.10760
Quenched normal approximation for random sequences of transformations
Abstract
We study random compositions of transformations having certain uniform fiberwise properties and prove bounds which in combination with other results yield a quenched central limit theorem equipped with a convergence rate, also in the multivariate case, assuming fiberwise centering. For the most part we work with non-stationary randomness and non-invariant, non-product measures. Independently, we believe our work sheds light on the mechanisms that make quenched central limit theorems work, by dissecting the problem into three separate parts.
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Olli Hella, Mikko Stenlund. 2018-10-25. Quenched normal approximation for random sequences of transformations. https://doi.org/10.1007/s10955-019-02390-5
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