Citation Analysis

Concentration inequalities of MLE and robust MLE
Xiaowei Yang, Xinqiao Liu, Haoyu Wei
https://arxiv.org/abs/2210.09398
31
Citation mentions
17
Cited references
4
Sections
3,710
Words (approx)

References by Citation Intensity

Ordered by composite index (descending). Higher values indicate more intensive citation.

# Reference Year Mentions Breadth Sec. Wtd Share Composite Main %
1 Miao, Y 2010 7 2 10.0 0.226 0.874 100%
2 Maurer, A. and Pontil, M 2021 6 2 12.0 0.194 0.874 100%
3 Catoni, O 2012 2 2 3.0 0.065 0.644 100%
4 Mardia, K., Southworth, H., and Taylor, C 1999 2 2 4.0 0.065 0.644 100%
5 Lerasle, M 2019 2 1 2.0 0.065 0.511 100%
6 Cramer, H 1946 1 1 1.0 0.032 0.406 100%
7 Shao, J 2010 1 1 1.0 0.032 0.406 100%
8 Huber, P. J 1964 1 1 1.0 0.032 0.406 100%
9 Sun, Q., Zhou, W.-X., and Fan, J 2020 1 1 1.0 0.032 0.406 100%
10 Sun, Q 2021 1 1 1.0 0.032 0.406 100%
11 Zhang, H. and Wei, H (self) 2022 1 1 1.0 0.032 0.406 100%
12 Yao, Q. and Zhang, H 2022 1 1 1.0 0.032 0.406 100%
13 Arnold, B. C 2014 1 1 1.0 0.032 0.406 100%
14 Weinberg, G. V 2017 1 1 1.0 0.032 0.406 100%
15 Buldygin, V. V. and Kozachenko, I. V 2000 1 1 1.0 0.032 0.406 100%
16 Zhang, H. and Lei, X 2022 1 1 2.0 0.032 0.406 100%
17 Zhang, H. and Chen, S. X 2021 1 1 2.0 0.032 0.406 100%
Measures: Mentions = total in-text citations; Breadth = distinct sections; Sec. Wtd = section-weighted count (body ×2, lit review/appendix ×0.5); Share = mentions / total citations in paper; Composite = geometric mean of normalised count, breadth, and main-text ratio; Main % = fraction of mentions in main text (excl. appendix). (self) = self-citation.