
arXiv: 1309.3700
A histogram estimate of the Radon-Nikodym derivative of a probability measure with respect to a dominating measure is developed for binary sequences in $\{0,1\}^{\mathbb{N}}$. A necessary and sufficient condition for the consistency of the estimate in the mean-square sense is given. It is noted that the product topology on $\{0,1\}^{\mathbb{N}}$ and the corresponding dominating product measure pose considerable restrictions on the rate of sampling required for the requisite convergence.
Cantor space, Density estimation, Asymptotic properties of nonparametric inference, FOS: Mathematics, Mathematics - Statistics Theory, Statistics Theory (math.ST), Radon-Nikodym derivative, mean-square consistency, histograms
Cantor space, Density estimation, Asymptotic properties of nonparametric inference, FOS: Mathematics, Mathematics - Statistics Theory, Statistics Theory (math.ST), Radon-Nikodym derivative, mean-square consistency, histograms
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