Asymptotic analysis of parameterised univariate Gaussian splitting
classification
🧮 math.ST
stat.TH
keywords
gaussiansplittingalgorithmasymptoticlimitunivariateanalysesanalysis
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This document provides in-depth details for the derivation of the univariate splitting algorithm developed in arXiv:2606.01530. The algorithm approximates the standard, 1-D Gaussian distribution with a mixture of uniformly spaced homoscedastic Gaussian components. The solution is found by minimising the squared $L^2$ norm of the mismatch between the approximation and the original Gaussian. This text presents asymptotic analyses of the proposed splitting in the limit of small step $h$ between the mixand means and in the limit of large number of mixands $M$.
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