@article{endres_new_2003,
	title = {A new metric for probability distributions},
	volume = {49},
	issn = {1557-9654},
	url = {https://ieeexplore.ieee.org/abstract/document/1207388},
	doi = {10.1109/TIT.2003.813506},
	abstract = {We introduce a metric for probability distributions, which is bounded, information-theoretically motivated, and has a natural Bayesian interpretation. The square root of the well-known /spl chi//sup 2/ distance is an asymptotic approximation to it. Moreover, it is a close relative of the capacitory discrimination and Jensen-Shannon divergence.},
	number = {7},
	urldate = {2026-03-14},
	journal = {IEEE Transactions on Information Theory},
	author = {Endres, D.M. and Schindelin, J.E.},
	month = jul,
	year = {2003},
	keywords = {Adaptive estimation, Algorithm design and analysis, Bayesian methods, Convergence, Gaussian noise, Iterative algorithms, Probability distribution, Wavelet analysis, White noise, Writing},
	pages = {1858--1860},
	file = {Eingereichte Version:C\:\\Users\\duoyi\\Zotero\\storage\\VCA7EBUK\\Endres und Schindelin - 2003 - A new metric for probability distributions.pdf:application/pdf;Snapshot:C\:\\Users\\duoyi\\Zotero\\storage\\RRETST4G\\1207388.html:text/html},
}