A note on density estimation for binary sequences

DOI10.1016/j.spl.2013.09.013zbMath1283.62074arXiv1309.3700OpenAlexW2963120130MaRDI QIDQ2439648

Karthik Bharath

Publication date: 14 March 2014

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1309.3700

zbMATH Keywords

Radon-Nikodym derivativehistogramsCantor spacemean-square consistency

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)

Cites Work

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• Limit theorems for sequences of random trees
• Hausdorff dimension in probability theory. I, II
• A recursive procedure for density estimation on the binary hypercube
• Testing statistical hypothesis on random trees and applications to the protein classification problem
• Algorithmic Randomness and Complexity
• Four Topologically Equivalent Measures in the Cantor Space
• Topologically Equivalent Measures in the Cantor Space
• A Bayesian latent variable approach to functional principal components analysis with binary and count data

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