majing

JING, Bing-Yi
荊炳義

(PhD Sydney)

Phone: (852) 2358 7458
Email: majing@ust.hk
Office: Room 3437
Home Page

Professor



Research Interests

Probability and statistics; financial mathematics econometrics; bioinformatics

Awards & Honors

  • Fellow of the American Statistical Association   (2018)
  • Second Class, 2015 Higher Education Outstanding Scientific Research Output Awards (Natural Science)   (2015)
  • Second Class, 2015 State Natural Science Award   (2015)
  • Second Class, State Natural Science Award   (2010)

Selected Publications

  Article

  1. Crawling subsampling for multivariate spatial autoregression model in large-scale networks
    • Author(s): Hu, Wei; Huang, Danyang; Jing, Bingyi; Zhang, Bo
    • Source: Electronic Journal of Statistics, v. 15, (2), 2021, p. 3678-3707
    • Year: 2021

  2. Collaborative Filtering With Awareness of Social Networks
    • Author(s): Yu, Xianshi; Li, Ting; Ying, Ningchen; Jing, Bing-yi
    • Source: Journal of Business and Economic Statistics, 2021, p. 1-13
    • Year: 2021

  3. Clustering based on Kolmogorov–Smirnov statistic with application to bank card transaction data
    • Author(s): Zhu, Yingqiu; Deng, Qiong; Huang, Danyang; Jing, Bing-yi; Zhang, Bo
    • Source: Journal of the Royal Statistical Society. Series C: Applied Statistics, v. 70, (3), June 2021, p. 558-578
    • Year: 2021

  4. Fused-MCP With Application to Signal Processing
    • Author(s): Jing, Bing-yi ; Yang, Guangren; Yu, Xianshi ; Zhang, Cunhui
    • Source: Journal of Computational and Graphical Statistics, v. 27, (4), 2018, p. 872-886
    • Year: 2018

  5. On Estimation of Hurst Parameter Under Noisy Observations
    • Author(s): Liu, Guangying; Jing, Bing-yi
    • Source: Journal of Business and Economic Statistics. , v. 36, (3), July 2018, p. 483-492
    • Year: 2018

  6. Estimating the Integrated Volatility Using High-frequency Data With Zero Durations
    • Author(s): Liu, Zhi; Kong, Xinbing; Jing, Bing-yi
    • Source: Journal of Econometrics. , v. 204, (1), May 2018, p. 18-32
    • Year: 2018

  7. Nonparametric Regression with Nearly Integrated Regressors Under Long-Run Dependence
    • Author(s): Cai, Zongwu; Jing, Bing Yi; Kong, Xinbing; Liu, Zhi
    • Source: Econometrics Journal. , v. 20, (1), February 2017, p. 118-138
    • Year: 2017

  8. Estimating Volatility Functionals With Multiple Transactions
    • Author(s): Jing, Bing Yi; Liu, Zhi; Kong, Xinbing
    • Source: Econometric Theory. , v. 33, (2), April 2017, p. 331-365
    • Year: 2017

  9. Transforming the Empirical Likelihood towards better accuracy
    • Author(s): Jing, Bing-Yi; Tsao, Min; Zhou, Wang
    • Source: Canadian Journal of Statistics-revue Canadienne De Statistique. , v. 45, (3), September 2017, p. 340-352
    • Year: 2017

  10. On SURE-Type Double Shrinkage Estimation
    • Author(s): Jing, Bing-Yi; Li, Zhouping; Pan, Guangming; Zhou, Wang
    • Source: Journal of the American Statistical Association. , v. 111, (516), October 2016, p. 1696-1704
    • Year: 2016

  11. Spline-Lasso in High-Dimensional Linear Regression
    • Author(s): Guo, Jianhua; Hu, Jianchang; Jing, Bing Yi; Zhang, Zhen
    • Source: Journal of the American Statistical Association. , v. 111, (513), May 2016, p. 288-297
    • Year: 2016

  12. Feature subset selection using naive Bayes for text classification
    • Author(s): Feng, Guozhong; Guo, Jianhua; Jing, Bingyi; Sun, Tieli
    • Source: Pattern Recognition Letters. , v. 65, August 2015, article number 6297, p. 109-115
    • Year: 2015

  13. Likelihood Ratio Test for Multi-Sample Mixture Model and Its Application to Genetic Imprinting
    • Author(s): Li, Shaoting; Chen, Jiahua; Guo, Jianhua; Jing, Bing Yi; Tsang, Shui Ying; Xue, Hong
    • Source: Journal of the American Statistical Association. , v. 110, (510), April 2015, p. 867-877
    • Year: 2015

  14. Testing for pure-jump processes for high-frequency data
    • Author(s): Kong, Xin-Bing; Liu, Zhi; Jing, Bing Yi
    • Source: Annals of Statistics. , v. 43, (2), April 2015, p. 847-877
    • Year: 2015

  15. Regularized maximum correntropy machine
    • Author(s): Wang, Jim Jing-Yan; Wang, Yunji; Jing, Bing-Yi; Gao, Xin
    • Source: Neurocomputing. , v. 160, July 2015, p. 85-92
    • Year: 2015

  16. An automated framework for NMR resonance assignment through simultaneous slice picking and spin system forming
    • Author(s): Abbas, Ahmed; Guo, Xianrong; Jing, Bing-Yi; Gao, Xin
    • Source: Journal of Biomolecular NMR. , v. 59, (2), 2014, p. 75-86
    • Year: 2014

  17. On the Estimation of Integrated Volatility With Jumps and Microstructure Noise
    • Author(s): Jing, Bing-Yi; Liu, Zhi; Kong, Xin-Bing
    • Source: Journal of Business and Economic Statistics. , v. 32, (3), July 2014, p. 457-467
    • Year: 2014

  18. On integrated volatility of Itô semimartingales when sampling times are endogenous
    • Author(s): Li, C.X.; Chen, J.Y.; Liu, Z.; Jing, Bing-Yi
    • Source: Communications in Statistics - Theory and Methods. , v. 43, (24), December 2014, p. 5263-5275
    • Year: 2014

  19. FDR CONTROL IN MULTIPLE TESTING UNDER NON-NORMALITY
    • Author(s): Jing, Bing-Yi; Kong, Xin-Bing; Zhou, Wang
    • Source: Statistica Sinica. , v. 24, (4), October 2014, p. 1879-1899
    • Year: 2014

  20. Cramér-Type Moderate Deviation for Studentized Compound Poisson Sum
    • Author(s): Jing, Bing yi; Wang, Qiying; Zhou, Wang
    • Source: Journal of Theoretical Probability. , v. 28, (4), December 2015, p. 1556-1570
    • Year: 2014

  21. Evaluating the hedging error in price processes with jumps present
    • Author(s): Jing, Bing Yi; Kong, X.B.; Liu, Z.; Zhang, B.
    • Source: Statistics and its Interface. , v. 6, (4), 2013, p. 413-425
    • Year: 2013

  22. Automatic Peak Selection by a Benjamini-Hochberg-Based Algorithm
    • Author(s): Abbas, Ahmed; Kong, Xin-Bing; Liu, Zhi; Jing, Bing-Yi; Gao, Xin
    • Source: PLoS ONE. , v. 8, (1), January 2013, article number e53112
    • Year: 2013

  23. The asymptotics of the integrated self-weighted cross volatility estimator
    • Author(s): Li, Cui-Xia; Liang, Xiao-Lin; Jing, Bing-Yi; Kong, Xin-Bing
    • Source: Journal of Statistical Planning and Inference. , v. 143, (10), October 2013, p. 1708-1718
    • Year: 2013

  24. On Estimating the Integrated Co-Volatility Using Noisy High-Frequency Data with Jumps
    • Author(s): Jing, Bing-Yi; Li, Cui-Xia; Liu, Zhi
    • Source: Communications in Statistics - Theory and Methods. , v. 42, (21), November 2013, p. 3889-3901
    • Year: 2013

  25. Social Cognitive Role of Schizophrenia Candidate Gene GABRB2
    • Author(s): Tsang, Shui Ying LIFS; Zhong, Songfa ECON; Mei, Lingling LIFS; Chen, Jianhuan LIFS; Ng, S. LIFS; Pun, Frank Wing LIFS; Zhao, Cunyou SENG; Jing, Bingyi ; Chark, Robin; Guo, Jianhua; Tan, Yunlong; Li, Junli; Wang, Chuanyue; Chew, Soo Hong ECON; Xue, Hon
    • Source: PLoS ONE. , v. 8, (4), April 2013, article number e62322
    • Year: 2013

  26. On the jump activity index for semimartingales
    • Author(s): Jing, Bing-Yi; Kong, Xin-Bing; Liu, Zhi; Mykland, P.
    • Source: Journal of econometrics. , v. 166, (2), 2012, p. 213-223
    • Year: 2012

  27. A Bayesian feature selection paradigm for text classification
    • Author(s): Feng, G.; Guo, J.; Jing, Bing-Yi; Hao, L.
    • Source: Information processing & management. , v. 48, (2), 2012, p. 283-302
    • Year: 2012

  28. WaVPeak: picking NMR peaks through wavelet-based smoothing and volume-based filtering
    • Author(s): Liu, Zhi; Abbas, Ahmed; Jing, Bing-Yi; Gao, Xin
    • Source: Bioinformatics. , v. 28, (7), April 2012, p. 914-920
    • Year: 2012

  29. Jackknife empirical likelihood method for case-control studies with gene-environment independence on controls
    • Author(s): Jing, Bing-Yi; Li, Zhouping; Qin, Jing; Zhou, Wang
    • Source: Statistics and Its Interface. , v. 5, 2012, p. 293-302
    • Year: 2012

  30. Self-normalized moderate deviations for independent random variables
    • Author(s): Jing, BingYi; Liang, HanYing; Zhou, Wang
    • Source: Science China. Mathematics. , v. 55, (11), November 2012, p. 2297-2315
    • Year: 2012

  31. Modeling high-frequency financial data by pure jump processes
    • Author(s): Jing, Bing-Yi; Kong, Xin-Bing; Liu, Zhi
    • Source: The Annals of Statistics. , v. 40, (2), April 2012, p. 759-784
    • Year: 2012

  32. Empirical likelihood-based confidence intervals for the sensitivity of a continuous-scale diagnostic test at a fixed level of specificity
    • Author(s): Qin, Gengsheng; Davis, Angela E.; Jing, Bing-Yi
    • Source: Statistical methods in medical research. , v. 20, (3), June 2011, p. 217-231
    • Year: 2011

  33. Estimating the Jump Activity Index Under Noisy Observations Using High-Frequency Data
    • Author(s): Jing, Bing-Yi; Kong, Xin-Bing; Liu, Zhi
    • Source: Journal of the American Statistical Association. , v. 106, (494), June 2011, p. 558-568
    • Year: 2011

  34. A note on minimal d-separation trees for structural learning
    • Author(s): Liu, Binghui; Guo, Jianhua; Jing, Bing-Yi
    • Source: Artificial intelligence. , v. 174, (5-6), 2010, APR, p. 442-448
    • Year: 2010

  35. Testing for diffusion in a discretely observed semimartingale
    • Author(s): Jing, Bing-Yi; Liu, Zhi; Kong, Xin-Bing
    • Source: Journal of the Korean Statistical Society. , v. 39, (3, Sp. Iss. SI), 2010, SEP, p. 357-370
    • Year: 2010

  36. Nonparametric estimate of spectral density functions of sample covariance matrices: A first step
    • Author(s): Jing, Bing-Yi; Pan, G.; Shao, Q.M.; Zhou, W.
    • Source: Annals of Statistics. , v. 38, (6), 2010, p. 3724-3750
    • Year: 2010

  37. Stochastic regression and its application to hedging in finance
    • Author(s): Jing, BingYi; Kong, XinBing; Liu, Zhi; Zhang, Bo
    • Source: Science in China Series a-mathematics. , v. 52, (6), 2009, JUN, p. 1365-1372
    • Year: 2009

  38. Asymptotic normality in partial linear models based on dependent errors
    • Author(s): Liang, Han-Ying; Jing, Bing-Yi
    • Source: Journal of statistical planning and inference. , v. 139, (4), 2009, APR 1, p. 1357-1371
    • Year: 2009

  39. Jackknife Empirical Likelihood
    • Author(s): Jing, Bing-Yi; Yuan, Junqing; Zhou, Wang
    • Source: Journal of the American Statistical Association. , v. 104, (487), 2009, SEP, p. 1224-1232
    • Year: 2009

  40. ON NORMAL APPROXIMATIONS TO U-STATISTICS
    • Author(s): Bentkus, Vidmantas; Jing, Bing-Yi; Zhou, Wang
    • Source: Annals of probability. , v. 37, (6), 2009, NOV, p. 2174-2199
    • Year: 2009

  41. On normal approximations to U -statistics
    • Author(s): Bentkus, Vidmantas; Jing, Bing-Yi; Zhou, Wang
    • Source: Annals of Probability. , v. 37, (6), 2009, November, p. 2174-2199
    • Year: 2009

  42. A unified approach to Edgeworth expansions for studentized statistics
    • Author(s): Jing, Bing Yi; Wang, Qiying
    • Source: Statistica Sinica. , v. 20, (2), 2010, APR, p. 613-636
    • Year: 2009

  43. Empirical likelihood for non-degenerate U-statistics
    • Author(s): Jing, Bing-Yi; Yuan, Junqing; Zhou, Wang
    • Source: Statistics & probability letters. , v. 78, (6), 2008, APR 15, p. 599-607
    • Year: 2008

  44. Towards a universal self-normalized moderate deviation
    • Author(s): Jing, Bing-Yi; Shao, Qi-Man; Zhou, Wang
    • Source: Transactions of the American Mathematical Society. , v. 360, (8), 2008, p. 4263-4285
    • Year: 2008

  45. Strong limit theorems for weighted sums of negatively associated random variables
    • Author(s): Jing, Bing-Yi; Liang, Han-Ying
    • Source: Journal of theoretical probability. , v. 21, (4), 2008, DEC, p. 890-909
    • Year: 2008

  46. The LIL for the Bickel-Rosenblatt test statistic
    • Author(s): Liang, Han-Ying; Jing, Bing-Yi
    • Source: Journal of statistical planning and inference. , v. 137, (6), 2007, JUN 1, p. 1829-1837
    • Year: 2007

  47. Limiting distributions of the non-central t-statistic and their applications to the power of t-tests under non-normality
    • Author(s): Bentkus, Vidmantas; Jing, Bing-Yi; Shao, Qi-Man; Zhou, Wang
    • Source: Bernoulli. , v. 13, (2), 2007, MAY, p. 346-364
    • Year: 2007

  48. Edgeworth expansion and bootstrap approximation for studentized product-limit estimator with truncated and censored data
    • Author(s): Wang, QH; Jing, Bing Yi
    • Source: COMMUNICATIONS in statistics-theory and METHODS. , v. 35, (4), 2006, p. 609-623
    • Year: 2006

  49. Tail probability approximations for Student's t-statistics
    • Author(s): Zhou, Wang; Jing, Bing-Yi
    • Source: Probability theory and related fields. , v. 136, (4), 2006, DEC, p. 541-559
    • Year: 2006

  50. Estimation by method of moment under two-sample location-scale model with random censorship
    • Author(s): Wang, QH; Jing, BY
    • Source: Journal of nonparametric statistics. , v. 17, (1), 2005, JAN-FEB, p. 1-14
    • Year: 2005

  51. Asymptotic properties for estimates of nonparametric regression models based on negatively associated sequences
    • Author(s): Liang, HY; Jing, Bing Yi
    • Source: Journal of multivariate analysis. , v. 95, (2), 2005, AUG, p. 227-245
    • Year: 2005

  52. A note on edgeworth expansions for U-statistics under minimal conditions
    • Author(s): Jing, Bing-Yi; Zhou, W.
    • Source: Lithuanian Mathematical Journal. , v. 45, (3), 2005, p. 353-358
    • Year: 2005

  53. Saddlepoint approximations to the trimmed mean
    • Author(s): Helmers, R.; Jing, BingYi; Qin, GS; Zhou, W.
    • Source: Bernoulli. , v. 10, (3), 2004, JUN, p. 465-501
    • Year: 2004

  54. Weighted bootstrap for U-statistics
    • Author(s): Wang, QY; Jing, Bing Yi
    • Source: Journal of multivariate analysis. , v. 91, (2), 2004, NOV, p. 177-198
    • Year: 2004

  55. Saddlepoint approximation for Student's t-statistic with no moment conditions
    • Author(s): Jing, Bing-Yi; Shao, Qi-Man; Zhou, Wang
    • Source: The Annals of Statistics. , v. 32, (6), 2004, DEC, p. 2679-2711
    • Year: 2004

  56. Empirical likelihood for partial linear models
    • Author(s): Wang, QH; Jing, Bing Yi
    • Source: Annals of the Institute of Statistical Mathematics. , v. 55, (3), 2003, SEP, p. 585-595
    • Year: 2003

  57. Edgeworth expansion in censored linear regression model
    • Author(s): Qin, Gensheng; Jing, Bing-Yi
    • Source: Annals of the Institute of Statistical Mathematics. , v. 55, (3), 2003, p. 597-617
    • Year: 2003

  58. Smoothed empirical likelihood confidence intervals for the difference of quantiles
    • Author(s): Zhou, Wenwen; Jing, Bing Yi
    • Source: Statistica Sinica. , v. 13, (1), 2003, JAN, p. 83-95
    • Year: 2003

  59. Adjusted empirical likelihood method for quantiles
    • Author(s): Zhou, W.; Jing, Bing Yi
    • Source: Annals of the Institute of Statistical Mathematics. , v. 55, (4), 2003, DEC, p. 689-703
    • Year: 2003

  60. Empirical likelihood confidence regions for comparison distributions and ROC curves
    • Author(s): Claeskens, G.; Jing, Bing Yi; Peng, L.; Zhou, W.
    • Source: CANADIAN journal OF statistics-revue CANADIENNE DE statistique. , v. 31, (2), 2003, JUN, p. 173-190
    • Year: 2003

  61. Self-normalized Cramer-type large deviations for independent random variables
    • Author(s): Jing, Bing Yi; Shao, Qiman; Wang, Qiying
    • Source: The Annals of Probability. , v. 31, (4), 2003, OCT, p. 2167-2215
    • Year: 2003

  62. Erratum: "Some results about NBUC class of life distributions"
    • Author(s): Li, Xiaohu; Li, Zehui; Jing, Bingyi
    • Source: Statistics and Probability Letters. , v. 61, Issue 3, 1 February 2003, Pages 235-236
    • Year: 2003

  63. Edgeworth expansion for U-statistics under minimal conditions
    • Author(s): Jing, Bing Yi; Wang, QY
    • Source: The Annals of Statistics. , v. 31, (4), 2003, AUG, p. 1376-1391
    • Year: 2003

  64. Strong consistency of estimators for heteroscedastic partly linear regression model under dependent samples
    • Author(s): Liang, Han Ying; Jing, Bing Yi
    • Source: Journal of Applied Mathematics and Stochastic Analysis. , v. 15, (3), 2002, p. 207-218
    • Year: 2002

  65. Partial saddlepoint approximations for transformed means
    • Author(s): Jing, Bing Yi; Kolassa, JE; Robinson, J.
    • Source: Scandinavian journal of statistics. , v. 29, (4), 2002, DEC, p. 721-731
    • Year: 2002

  66. Saddlepoint approximations for functions of means from several populations
    • Author(s): Jing, Bing-Yi; Li, Zehui
    • Source: Chinese J. Appl. Probab. Statist.. , 18, pp. 13-18
    • Year: 2002

  67. Empirical Likelihood for a Class of Functionals of Survival Distribution with Censored Data
    • Author(s): Wang, QH; Jing, Bing Yi
    • Source: Annals of the Institute of Statistical Mathematics. , v. 53, (3), 2001, SEP, p. 517-527
    • Year: 2001

  68. Empirical likelihood for Cox regression model under random censorship
    • Author(s): Qin, GS; Jing, Bing Yi
    • Source: COMMUNICATIONS in statistics-simulation and Computation. , v. 30, (1), 2001, p. 79-90
    • Year: 2001

  69. Empirical likelihood for censored linear regression
    • Author(s): Qin, Gengsheng; Jing, Bing Yi
    • Source: Scandinavian journal of statistics. , v. 28, (4), 2001, DEC, p. 661-673
    • Year: 2001

  70. Censored partial linear models and empirical likelihood
    • Author(s): Qin, GS; Jing, Bing Yi
    • Source: Journal of multivariate analysis. , v. 78, (1), 2001, JUL, p. 37-61
    • Year: 2001

  71. Some results about the NBUC class of life distributions
    • Author(s): Li, XH; Li, ZH; Jing, Bing Yi
    • Source: Statistics & probability letters. , v. 46, (3), 2000, FEB 1, p. 229-237
    • Year: 2000

  72. Asymptotic properties for estimation of partial linear models with censored data
    • Author(s): Qin, G.; Jing, Bing Yi
    • Source: Journal of statistical planning and inference. , v. 84, (1-2), 2000, MAR 1, p. 95-110
    • Year: 2000

  73. Test for new better than used in convex ordering
    • Author(s): Li, XH; Zhong, CK; Jing, Bing Yi
    • Source: COMMUNICATIONS in statistics-theory and METHODS. , v. 29, (12), 2000, p. 2751-2760
    • Year: 2000

  74. Local asymptotic normality and asymptotical minimax efficiency of the MLE under random censorship
    • Author(s): Wang, QH; Jing, Bing Yi
    • Source: Science in China Series a-mathematics PHYSICS ASTRONOMY. , v. 43, (6), 2000, JUN, p. 591-600
    • Year: 2000

  75. A martingale-based bootstrap inference with censored data
    • Author(s): Wang, QH; Jing, Bing Yi
    • Source: COMMUNICATIONS in statistics-theory and METHODS. , v. 29, (2), 2000, p. 401-415
    • Year: 2000

  76. The Berry-Esseen bound for Studentized statistics
    • Author(s): Wang, QY; Jing, Bing Yi; Zhao, LC
    • Source: Annals of probability. , v. 28, (1), 2000, JAN, p. 511-535
    • Year: 2000

  77. Empirical likelihood for partial linear models with fixed designs
    • Author(s): Wang, QH; Jing, Bing Yi
    • Source: Statistics & probability letters. , v. 41, (4), 1999, FEB 15, p. 425-433
    • Year: 1999

  78. An exponential nonuniform Berry-Esseen bound for self-normalized sums
    • Author(s): Wang, QY; Jing, Bing Yi
    • Source: Annals of probability. , v. 27, (4), 1999, OCT, p. 2068-2088
    • Year: 1999

  79. On the sampling window method for long-range dependent data
    • Author(s): Hall, P.; Jing, Bing Yi; Lahiri, SN
    • Source: Statistica Sinica. , v. 8, (4), 1998, OCT, p. 1189-1204
    • Year: 1998

  80. Saddlepoint approximations to the two-sample permutation tests
    • Author(s): Jing, Bing Yi
    • Source: Acta Mathematicae Applicatae Sinica. , v. 14, (2), 1998, p. 197-201
    • Year: 1998

  81. On the relative performance of the block bootstrap for dependent data
    • Author(s): Jing, Bing Yi
    • Source: COMMUNICATIONS in statistics-theory and METHODS. , v. 26, (6), 1997, p. 1313-1328
    • Year: 1997

  82. Two-sample nonparametric tilting method
    • Author(s): Jing, BY; Robinson, J.
    • Source: Australian journal of statistics. , v. 39, (1), 1997, APR, p. 25-34
    • Year: 1997

  83. Global tilting method
    • Author(s): Jing, Bing Yi
    • Source: Statistics & probability letters. , v. 28, (3), 1996, JUL, p. 219-226
    • Year: 1996

  84. Improved pivotal methods for constructing confidence regions with directional data
    • Author(s): Hall, P.; Jing, Bing Yi; Wood, ATA
    • Source: Journal of the American Statistical Association. , v. 91, (435), 1996, SEP, p. 1062-1070
    • Year: 1996

  85. Exponential empirical likelihood is not Bartlett correctable
    • Author(s): Jing, Bing Yi; Wood, ATA
    • Source: The Annals of Statistics. , v. 24, (1), 1996, FEB, p. 365-369
    • Year: 1996

  86. ON BLOCKING RULES FOR THE BOOTSTRAP WITH DEPENDENT DATA
    • Author(s): HALL, P.; HOROWITZ, JL; JING, BING YI
    • Source: Biometrika. , v. 82, (3), 1995, SEP, p. 561-574
    • Year: 1995

  87. Two-sample Empirical Likelihood Method
    • Author(s): Jing, Bing Yi
    • Source: Statistics and Probability Letters. , v. 24, (4), 1995, p. 315-319
    • Year: 1995

  88. Some Resampling Procedures under Symmetry
    • Author(s): Jing, Bing Yi
    • Source: Australian Journal of Statistics. , v. 37, (3), 1995, p. 337-344
    • Year: 1995

  89. On the bootstrap saddlepoint approximations
    • Author(s): Jing, Bingyi; Feuerverger, Andrey; Robinson, John
    • Source: Biometrika. , v. 81, (1), 1994, p. 211-215
    • Year: 1994

  90. Bahadur Slopes For Comparisons Of Tests Based On Resampling
    • Author(s): Jing, Bing Yi
    • Source: Australian Journal of Statistics. , v. 36, (3), 1994, p. 355-362
    • Year: 1994

  Book chapter

  1. Limit Theorems for U-statistics
    • Author(s): Jing, Bing Yi
    • Source: Asymptotic Theory in Probability and Statistics with Applications. , / Edited by Tze-Leung Lai, Lianfen Qian, Qi-Man Shao. Somerville, Mass.: International Press; Beijing: Higher Education Press, c2008, p. 254-273
    • Year: 2008

  Conference paper

  1. Limit theorems for independent self-normalized sums
    • Author(s): Jing, BY
    • Source: PROBABILITY, FINANCE AND INSURANCE. , 2004, p. 69-81
    • Year: 2004

  Other

  1. Erratum: Some results about NBUC class of life distributions
    • Author(s): Li, Xiaohu; Li, Zehui; Jing, Bingyi
    • Source: Statistics and Probability Letters, v. 61, (3), February 2003, p. 235-236
    • Year: 2003