Fast and fully-automated histograms for large-scale data sets-Reference-Cited by-同舟云学术

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Fast and fully-automated histograms for large-scale data sets

Published:2023-04 Issue: Volume:180 Page:107668
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

Zelaya Mendizábal Valentina,Boullé Marc,Rossi Fabrice

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference50 articles.

1. Information theory and an extension of the maximum likelihood principle;Akaike,1998

2. The Astropy Project: sustaining and growing a community-oriented open-source project and the latest major release (v5.0) of the core package;Price-Whelan;Astrophys. J.,2022

3. On the approximation of curves by line segments using dynamic programming;Bellman;Commun. ACM,1961

4. How many bins should be put in a regular histogram;Birge;ESAIM Probab. Stat.,2006

5. MODL: a Bayes optimal discretization method for continuous attributes;Boullé;Mach. Learn.,2006

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Floating-point histograms for exploratory analysis of large scale real-world data sets;Intelligent Data Analysis;2024-01-25

2. Using Maximum Weighted Likelihood to Derive Lehmer and Hölder Families of Means;IEEE Signal Processing Letters;2024

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