Abstract
Let M n denote the n-th moment space of the set of all probability measures on the interval [0, 1], P n the uniform distribution on the set M n and r n + 1 the maximal range of the (n + 1)-th moments corresponding to a random moment point C n with distribution P n on M n . We study several asymptotic properties of the stochastic process (r ⌊nt⌋+1) t∈[0,T] if n → ∞. In particular weak convergence to a Gaussian process and a large deviation principle are established.
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Dette, H., Gamboa, F. Asymptotic properties of the algebraic moment range process. Acta Math Hung 116, 247–264 (2007). https://doi.org/10.1007/s10474-007-6047-0
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DOI: https://doi.org/10.1007/s10474-007-6047-0
Key words and phrases
- moment spaces
- weak convergence
- large deviations
- canonical moments
- range of the moment space
- beta-distribution