Recent Papers
Google Scholar
Citation Number (GSCN)
GSCN
(up-to-date)
(# indicates undergraduate
student)
(* indicates former PhD student)
(** indicates former postdoctoral)
2024
68. Y. Zuo (2021)
“Asymptotics for the least trimmed
squares estimator”, under review, arXiv:2210.06460
67. Y. Zuo (2022), “Robust penalized least squares of depth trimmed residuals regression for high-dimensional data”, under review, PDF, arXiv 2309.016666
[seven pieces of R code are
published at https://github.com/left-github-4-codes/lst-enet]
2023
66. Y. Zuo and H. Zuo# (2022)
“Least
sum of squares of trimmed residuals regression”,
Electronic Journal of Statistics.
17
(2), 2447-2484, (2023) DOI: 10.1214/23-EJS2154,
arXiv:2202.10329
PDF[sixteen
pieces of R code published at
https://github.com/left-github-4-code/LST]
65. Y. Zuo (2020)
“Non-asymptotic robustness analysis of regression depth
median”,
Journal
of Multivariate Analysis
(in press). arXiv:
2009.00646.
2022
64. Y. Zuo (2020)
“Non-asymptotic analysis and inference for an outlyingness induced winsorized mean”
(in press), arXiv:2105.02337
Statistical Papers
63. W. Shao*, Y. Zuo, and June
Luo* (2018)
“Employing the MCMC Technique to
Compute the Projection Depth in High Dimensions” (in press)
Journal of Computational and Applied Mathematics
2021
62. Y. Zuo (2019)
“Computation of projection
regression depth and its induced median”
Computational statistics and
data analysis, Vol. 158, June 2021, 107184.
[some thirty plus instances of (Matlab, R, and Rcpp) code associated
with the article are available at
https://github.com/zuo-github/comp-prd-medians]
arXiv:1905.11846, PDF
61. Y. Zuo (2018)
“On general notions of depth for
regression”
(Statistical Science 2021, Vol. 36, No. 1,
142–157), arXiv:1805.02046. PDF
60. Y. Zuo (2018)
“Robustness of the deepest
projection regression depth functional”
Statistical Papers, https://doi.org/10.1007/s00362-019-01129-4 PDF
2020
59. Y. Zuo (2019)
“Large sample properties of the
regression depth induced median”
Statistics and Probability
Letters (166, November 2020, 108879). PDF, supplement PDF
58. Y. Zuo (2019)
“Depth induced regression medians
and uniqueness”
Stats (in press), arXiv:1906.10461. PDF
2019
57. W.Shao*, and Y. Zuo (2017)
“Computing the halfspace
depth with multiple try algorithm and simulated annealing algorithm”
Computational Statistics, https://doi.org/10.1007/s00180-019-00906-x
2018
56. Y. Zuo (2016)
“A new approach for the
computation of halfspace depth in high dimensions”.
Communications in
Statistics - Simulation and Computation
PDF 48(3): 900-921.
55. X.Liu*,
S. Luo and Y. Zuo (2016)
“The limit of finite sample breakdown point of Tukey's halfspace median for general data”.
Acta Mathematica Sinica, English Series PDF 34(9): 1403-1416.
2017
54. X. Liu*, S. Luo and Y. Zuo
(2015).
“Some
results on the computing of Tukey's halfspace
median”.
Statistical
Papers, Stat Papers (2017).
https://doi.org/10.1007/s00362-017-0941-5.
53. X. Liu*, Y. Zuo, and Q. Wang (2015).
“Finite sample breakdown point of Tukey's halfspace
median”.
Sci China Math, 2017, 60: 861–874, doi: 10.1007/s11425-016-0285-1
2016
52. Y. Zuo (2005).
“On the performance of confidence
intervals for quantiles”
Journal of
Advanced Statistics, 1(3), 171-179.
2015
51. Y.
Zuo (2005).
“Bahadur
representations for bootstrap quantiles"
Metrika, 78(5), 597-610.
50. X.
Liu* and Y. Zuo (2014).
“CompPD: A MATLAB package for computing projection
depth"
Journal of Statistical Software, 65(2), 1-21.
2014
49. X.
Liu* and Y. Zuo (2011)
"Computing halfspace depth and regression depth"
Communications in
Statistics - Simulation and Computation
43(5),
969-985.
48. X.
Liu* and Y. Zuo (2011).
“Computing projection depth and its associated
estimators"
Statistics and Computing, 24 (1), 51-63.
2013
47. Y.
Zuo (2013).
“Multidimensional
medians and uniqueness"
Computational Statistics and Data Analysis, 66, 82-88.
46. X.
Liu*, Y. Zuo and Z. Wang. (2011).
“Exactly
computing bivariate projection depth contours and median"
Computational Statistics and Data Analysis, 60,
1-11. PDF
2012
45. W.
Shao* and Y. Zuo (2011).
“Simulated
annealing for higher dimensional projection depth ‘’
Computational Statistics and Data Analysis,
56,
4026–4036
2011
44. J. Luo* and Y. Zuo
(2006).
“A new test for large dimensional regression
coefficients”.
Open
Journal of Statistics. 1(3), 212-216 (2011).
43. J.
Luo* and Y. Zuo. (2009)
“Statistical
methods for differential gene detection in microarray''.
Advances and Applications in Statistical
Sciences, 6(2), 77-88 (2011).
42. B.
Jiang, X. Zhang, Y. Zuo, and G. Kang, (2009)
“A
powerful truncated tail strength method for testing multiple null hypotheses in
one dataset".
Journal of
theoretical Biology 277 (1), 67-73 PDF
41. Y. Zuo and S. Lai (2009).
"Exact
computation of the bivariate projection depth and Stahel-Donoho estimator."
Computational Statistics and Data Analysis
, 53(3), 1173-1179. 2011. PDF (GSCN:2)
2010
40. L.
Kong** and Y. Zuo (2009).
“Smooth Depth Contours Characterize Underlying
Distribution”
Journal
of Multivariate Analysis. 101(2010), 2222 – 2226, 2010.
PDF
39. Y. Zuo (2009).
"Is t procedure $\bar{x} \pm t_\alpha(n-1) s/\sqrt{n}$ optimal?"
The American Statistician 64(2), 170-173, 2010.
38. R.
Serfling and Y. Zuo (2009).
"Some
Perspectives on Multivariate Quantile and Depth Functions"
The Annals of Statistics. (discussion article) 38(2), 676-684, 2010. PDF
37. Y. Zuo and
G. Kang (2007)
“A mixed two-stage analysis for
detecting interactions in genomewide association
studies”
Journal of
theoretical Biology , 262(4), 576-583, 2010.
36. Y. Yuan**, J. Wu , Y. Zuo, .and J. Chen (2009).
“A new method for fitting the complicated water level process of the lower Yellow River”.
Science in China Seies E: Technological Sciences, 52(10): 2997 -3003, 2009.
35. Y.
Zuo (2009).
"Data
depth trimming procedure outperforms the classical $t$ (or $T^2$) one,"
Journal of Probability and
Statistics Volume 2009
(2009), Article
ID 373572, 9 pages
34. Y. Zuo and
X. Ye (2009)
ExPD2D: "Exact Computation of Bivariate Projection Depth Based on Fortran Code."
R package version 1.0.1. http://CRAN.R-project.org/package=ExPD2D.
33. Y. Zuo and S. Lai (2009)
“On a robust and efficient maximum
depth estimator”
Science in China Series A:
Mathematics . 52(6),1-21, 2009. PDF
32. M. Wu* and Y. Zuo (2005)
“Trimmed and Winsorized means based on a scaled deviation”
Journal
of Statistical Planning and Inference. 139(2) 350-365, 2009. (GSCN:4)
2008
31 .M. Wu* and Y. Zuo (2007)
“Trimmed and Winsorized Standard Deviations based on a scaled deviation”
Journal
of Nonparametric Statistics,
20(4):319-335, 2008. (GSCN:1)
30. Kang**, G., Yue, W., Zhang, J., Huebner, M.,
Zhang, H., Ruan, Y., Lu, T.,
Ling, Y., Zuo, Y., Zhang, D(2007).
"Two-stage designs to
identify the effects of SNP combinations on complex diseases"
Journal of Human Genetics. 53(8):739-46, 2008. (GSCN:3)
29. Zuo, Y., Zou, G., Wang, J., Zhao, H., Liang, H.(2006).
Optimal two-stage design for
case-control association analysis incorporating genotyping error
The Annals of
Human Genetics, 72(3):375-387, 2008.
(GSCN:8)
28. Kang**, G., Yue, W.
Zhang, J., Cui, Y., Zuo, Y., and Zhang, D. (2007).
An entropy-based approach
for modeling and testing genetic epistasis underlying complex diseases.
Journal of
theoretical Biology, 250(2):362-374, 2008. (GSCN:8)
2007
27. Kang**, G., Zuo, Y. (2006)
Entropy-based joint analysis
for two-stage genome-wide association studies.
Journal of Human Genetics, 52(9): 747-756, 2007. (GSCN:2)
2006
26. Y. Zuo and J. Du (2005)
“On an L-estimator with
data-dependent coefficients’’
International
Journal of Statistics and Management Systems. 1(1):24-47, 2006.
25. Y. Zuo, G. Zou, and H. Zhao (2005)
“Two-stage designs in case-control association analysis”