All Stories

  1. A communication-efficient distributed Retire with application to the analysis of multi-site air-quality distributed data

    Article • Journal of the Royal Statistical Society Series C (Applied Statistics), February 2026, Oxford University Press (OUP)

    Keming Yu

  2. A spatiotemporal marginalized zero-inflated Conway–Maxwell–Poisson regression model: application to international population outmigration within Asia

    Article • Journal of the Royal Statistical Society Series A (Statistics in Society), February 2026, Oxford University Press (OUP)

    Keming Yu

  3. Jiangfeng Wang, Keming Yu and Rong Jiang's contribution to the Discussion of ‘Augmented balancing weights as linear regression’ by Bruns-Smith et al

    Article • Journal of the Royal Statistical Society Series B Statistical Methodology, January 2026, Oxford University Press (OUP)

    Keming Yu

  4. Spatiotemporal dynamic quantile regression models with applications to particulate matter concentration data

    Article • Journal of the Royal Statistical Society Series C (Applied Statistics), July 2025, Oxford University Press (OUP)

    Keming Yu

  5. The unit-Cauchy quantile regression model with variates observed on (0, 1): percentages, proportions, and fractions

    Article • Hacettepe Journal of Mathematics and Statistics, February 2025, Hacettepe Journal of Biology and Chemistry

    Keming Yu

  6. Mode-Based Classifier: A Robust and Flexible Discriminant Analysis for High-Dimensional Data

    Article • Statistica Sinica, January 2025, Institute of Statistical Science

    Keming Yu

  7. Unconditional Quantile Regression for Streaming Datasets

    Article • Journal of Business and Economic Statistics, December 2023, Taylor & Francis

    Keming Yu

  8. Non‐crossing quantile double‐autoregression for the analysis of streaming time series data

    Article • Journal of Time Series Analysis, October 2023, Wiley

    Keming Yu

  9. A Bayesian multistage spatio‐temporally dependent model for spatial clustering and variable selection

    Article • Statistics in Medicine, August 2023, Wiley

    Keming Yu

  10. Bayesian scale mixtures of normals linear regression and Bayesian quantile regression with big data and variable selection

    Article • Journal of Computational and Applied Mathematics, August 2023, Elsevier

    Keming Yu

  11. Bayesian log-linear beta-negative binomial integer-valued Garch model

    Article • Computational Statistics, July 2023, Springer Science + Business Media

    Keming Yu

  12. Weighted Competing Risks Quantile Regression Models and Variable Selection

    Article • Mathematics, March 2023, MDPI AG

    Keming Yu

  13. Bayesian spatio‐temporal modeling for the inpatient hospital costs of alcohol‐related disorders

    Article • Journal of the Royal Statistical Society Series A (Statistics in Society), November 2022, Wiley

    Keming Yu

  14. Renewable quantile regression for streaming data sets

    Article • Neurocomputing, October 2022, Elsevier

    Keming Yu

  15. K-Nearest Neighbor Estimation of Functional Nonparametric Regression Model under NA Samples

    Article • Axioms, February 2022, MDPI AG

    Keming Yu, hu xueping

  16. No-Crossing Single-Index Quantile Regression Curve Estimation

    Article • Journal of Business and Economic Statistics, January 2022, Taylor & Francis

    Keming Yu

  17. Smoothing quantile regression for a distributed system

    Article • Neurocomputing, November 2021, Elsevier

    Keming Yu

  18. A Discrete Density Approach to Bayesian Quantile and Expectile Regression with Discrete Responses

    Article • Journal of Statistical Theory and Practice, July 2021, Springer Science + Business Media

    Keming Yu, hu xueping

  19. Single-index composite quantile regression for massive data

    Article • Journal of Multivariate Analysis, November 2020, Elsevier

    Keming Yu

  20. Mixed data sampling expectile regression with applications to measuring financial risk

    Article • Economic Modelling, September 2020, Elsevier

    Keming Yu

  21. An elastic-net penalized expectile regression with applications

    Article • Journal of Applied Statistics, June 2020, Taylor & Francis

    Keming Yu

  22. Robust control algorithm and simulation of networked control systems

    Article • Computer Communications, May 2020, Elsevier

    Keming Yu

  23. Influencing Factors and Countermeasures of the Health of Residents in the City Clusters along the Middle Reaches of the Yangtze River

    Article • Healthcare, April 2020, MDPI AG

    Keming Yu

  24. Does economic policy uncertainty in the U.S. influence stock markets in China and India? Time-frequency evidence

    Article • Applied Economics, March 2020, Taylor & Francis

    Keming Yu

  25. Modeling tails for collinear data with outliers in the English Longitudinal Study of Ageing: Quantile profile regression

    Article • Biometrical Journal, January 2020, Wiley

    Keming Yu

  26. Estimation of the system reliability for generalized inverse Lindley distribution based on different sampling designs

    Article • Communication in Statistics- Theory and Methods, January 2020, Taylor & Francis

    Keming Yu

  27. Heteroscedastic and heavy-tailed regression with mixtures of skew Laplace normal distributions

    Article • Journal of Statistical Computation and Simulation, August 2019, Taylor & Francis

    Keming Yu

  28. Quantile Regression and Beyond in Statistical Analysis of Data

    Article • Journal of Probability and Statistics, July 2019, Hindawi Publishing Corporation

    Himel Mallick, Dr Rahim Alhamzawi, Keming Yu

  29. Dynamic Dependence Structure between Chinese Stock Market Returns and RMB Exchange Rates

    Article • Emerging Markets Finance and Trade, July 2019, Taylor & Francis

    Keming Yu

  30. An Efficient Mixed-Model for Screening Differentially Expressed Genes of Breast Cancer Based on LR-RF

    Article • IEEE/ACM Transactions on Computational Biology and Bioinformatics, January 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Keming Yu

  31. Discrete Weibull Generalized Additive Model: An Application to Count Fertility Data

    Article • Journal of the Royal Statistical Society Series C (Applied Statistics), September 2018, Oxford University Press (OUP)

    Keming Yu

  32. Composite quantile regression for massive datasets

    Article • Statistics, July 2018, Taylor & Francis

    hu xueping , Keming Yu

  33. Improved local quantile regression

    Article • Statistical Modelling, July 2018, SAGE Publications

    Keming Yu

  34. The heterogeneous response of the stock market to emission allowance price: evidence from quantile regression

    Article • Carbon Management, May 2018, Taylor & Francis

    Prof. Huiming ZHU, Keming Yu

  35. A Simple and Adaptive Dispersion Regression Model for Count Data

    Article • Entropy, February 2018, MDPI AG

    Keming Yu

  36. Binary Quantile Regression and Variable Selection: A new Approach

    Article • Econometric Reviews, January 2018, Taylor & Francis

    Keming Yu

  37. A novel Bayesian regression model for counts with an application to health data

    Article • Journal of Applied Statistics, June 2017, Taylor & Francis

    Keming Yu

  38. A large CVaR-based portfolio selection model with weight constraints

    Article • Economic Modelling, December 2016, Elsevier

    Keming Yu

  39. Quantile autoregression neural network model with applications to evaluating value at risk

    Article • Applied Soft Computing, December 2016, Elsevier

    Keming Yu

  40. Challenges in the application of DCVG‐survey to predict coating defect size on pipelines

    Article • Werkstoffe und Korrosion, November 2016, Wiley

    Keming Yu

  41. Nonparametric conditional autoregressive expectile model via neural network with applications to estimating financial risk

    Article • Applied Stochastic Models in Business and Industry, November 2016, Wiley

    Dr. Cuixia Jiang, Keming Yu

  42. The effects of FDI, economic growth and energy consumption on carbon emissions in ASEAN-5: Evidence from panel quantile regression

    Article • Economic Modelling, November 2016, Elsevier

    Keming Yu

  43. Flexible objective Bayesian linear regression with applications in survival analysis

    Article • Journal of Applied Statistics, May 2016, Taylor & Francis

    Keming Yu

  44. Statistical methods for body mass index: A selective review

    Article • Statistical Methods in Medical Research, April 2016, SAGE Publications

    Keming Yu

  45. Inference on the Kumaraswamy distribution

    Article • Communication in Statistics- Theory and Methods, March 2016, Taylor & Francis

    Keming Yu

  46. Quantile regression with group lasso for classification

    Article • Advances in Data Analysis and Classification, April 2015, Springer Science + Business Media

    Keming Yu

  47. Interval estimation for proportional reversed hazard family based on lower record values

    Article • Statistics & Probability Letters, March 2015, Elsevier

    Keming Yu

  48. Robust variable selection in partially varying coefficient single-index model

    Article • Journal of the Korean Statistical Society, March 2015, Springer Science + Business Media

    Keming Yu

  49. Democracy, Financial Openness, and Global Carbon Dioxide Emissions: Heterogeneity Across Existing Emission Levels

    Article • World Development, February 2015, Elsevier

    Keming Yu

  50. New Inference for Constant-Stress Accelerated Life Tests With Weibull Distribution and Progressively Type-II Censoring

    Article • IEEE Transactions on Reliability, September 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Keming Yu

  51. Bayesian Tobit quantile regression usingg-prior distribution with ridge parameter

    Article • Journal of Statistical Computation and Simulation, August 2014, Taylor & Francis

    Dr Rahim Alhamzawi, Keming Yu

  52. Robust variable selection for nonlinear models with diverging number of parameters

    Article • Statistics & Probability Letters, August 2014, Elsevier

    Keming Yu

  53. Point and exact interval estimation for the generalized Pareto distribution with small samples

    Article • Statistics and Its Interface, January 2014, International Press of Boston

    Keming Yu

  54. Conjugate priors and variable selection for Bayesian quantile regression

    Article • Computational Statistics & Data Analysis, August 2013, Elsevier

    Keming Yu

  55. Bayesian lasso binary quantile regression

    Article • Computational Statistics, July 2013, Springer Science + Business Media

    Keming Yu

  56. Penalized Single-Index Quantile Regression

    Article • International Journal of Statistics and Probability, May 2013, Canadian Center of Science and Education

    Keming Yu

  57. A comparative study for robust canonical correlation methods

    Article • Journal of Statistical Computation and Simulation, April 2013, Taylor & Francis

    Keming Yu

  58. Bayesian variable selection in quantile regression

    Article • Statistics and Its Interface, January 2013, International Press of Boston

    Keming Yu

  59. Oil prices and stock market in China: A sector analysis using panel cointegration with multiple breaks

    Article • Energy Economics, November 2012, Elsevier

    Keming Yu

  60. Bayesian Lasso-mixed quantile regression

    Article • Journal of Statistical Computation and Simulation, October 2012, Taylor & Francis

    Keming Yu

  61. Bayesian adaptive Lasso quantile regression

    Article • Statistical Modelling, May 2012, SAGE Publications

    Keming Yu

  62. Variable selection in quantile regression via Gibbs sampling

    Article • Journal of Applied Statistics, April 2012, Taylor & Francis

    Keming Yu

  63. Crude oil shocks and stock markets: A panel threshold cointegration approach

    Article • Energy Economics, September 2011, Elsevier

    Keming Yu

  64. Prior elicitation for mixed quantile regression with an allometric model

    Article • Environmetrics, May 2011, Wiley

    Keming Yu

  65. Power Prior Elicitation in Bayesian Quantile Regression

    Article • Journal of Probability and Statistics, January 2011, Hindawi Publishing Corporation

    Keming Yu

  66. Inference Under Progressively Type II Right-Censored Sampling for Certain Lifetime Distributions

    Article • Technometrics, November 2010, Taylor & Francis

    Keming Yu

  67. Single-index quantile regression

    Article • Journal of Multivariate Analysis, August 2010, Elsevier

    Keming Yu

  68. Bahadur representation of linear kernel quantile estimator of VaR under assumptions

    Article • Journal of Statistical Planning and Inference, July 2010, Elsevier

    Keming Yu

  69. On Semiparametric Mode Regression Estimation

    Article • Communication in Statistics- Theory and Methods, March 2010, Taylor & Francis

    Keming Yu

  70. Local linear spatial quantile regression

    Article • Bernoulli, August 2009, Bernoulli Society for Mathematical Statistics and Probability

    Keming Yu

  71. Comparing methods of analysing datasets with small clusters: case studies using four paediatric datasets

    Article • Paediatric and Perinatal Epidemiology, June 2009, Wiley

    Keming Yu

  72. Improving Prediction Intervals: Some Elementary Methods

    Article • The American Statistician, February 2009, Taylor & Francis

    Keming Yu

  73. M-quantile Regression Analysis of Temporal Gene Expression Data

    Article • Statistical Applications in Genetics and Molecular Biology, January 2009, De Gruyter

    Keming Yu

  74. Automatic Bayesian quantile regression curve fitting

    Article • Statistics and Computing, October 2008, Springer Science + Business Media

    Keming Yu

  75. Quantile regression for binary performance indicators

    Article • Applied Stochastic Models in Business and Industry, August 2008, Wiley

    Keming Yu

  76. A general method to the strong law of large numbers and its applications

    Article • Statistics & Probability Letters, April 2008, Elsevier

    Keming Yu

  77. Kernel Conditional Quantile Estimation for Stationary Processes with Application to Conditional Value-at-Risk

    Article • Journal of Financial Econometrics, December 2007, Oxford University Press (OUP)

    Keming Yu

  78. Comparison of kernel estimators of conditional distribution function and quantile regression under censoring

    Article • Statistical Modelling, December 2007, SAGE Publications

    Keming Yu

  79. Improved double kernel local linear quantile regression

    Article • Statistical Modelling, December 2007, SAGE Publications

    Keming Yu

  80. Optimum plan for step-stress model with progressive type-II censoring

    Article • Test, June 2007, Springer Science + Business Media

    Keming Yu

  81. A kernel‐based method for nonparametric estimation of variograms

    Article • Statistica Neerlandica, May 2007, Wiley

    Keming Yu

  82. Modelling financial time series with SEMIFAR GARCH model

    Article • IMA Journal of Management Mathematics, April 2007, Oxford University Press (OUP)

    Keming Yu

  83. Bayesian analysis of a Tobit quantile regression model

    Article • Journal of Econometrics, March 2007, Elsevier

    Keming Yu

  84. Likelihood-based kernel estimation in semiparametric errors-in-covariables models with validation data

    Article • Journal of Multivariate Analysis, March 2007, Elsevier

    Keming Yu

  85. Bayesian median regression for temporal gene expression data

    Article • January 2007, American Institute of Physics

    Keming Yu

  86. The null distribution of the likelihood-ratio test for one or two outliers in a normal sample

    Article • Test, June 2006, Springer Science + Business Media

    Keming Yu

  87. A Three-Parameter Asymmetric Laplace Distribution and Its Extension

    Article • Communication in Statistics- Theory and Methods, October 2005, Taylor & Francis

    Keming Yu

  88. Local Linear Additive Quantile Regression

    Article • Scandinavian Journal of Statistics, July 2004, Wiley

    Keming Yu

  89. Likelihood-Based Local Linear Estimation of the Conditional Variance Function

    Article • Journal of the American Statistical Association, March 2004, Taylor & Francis

    Keming Yu

  90. Nonparametric prediction by conditional median and quantiles

    Article • Journal of Statistical Planning and Inference, December 2003, Elsevier

    Keming Yu

  91. Quantile regression: applications and current research areas

    Article • DELETED, October 2003, Wiley

    Keming Yu

  92. Quantile regression using RJMCMC algorithm

    Article • Computational Statistics & Data Analysis, August 2002, Elsevier

    Keming Yu

  93. Idiot's Bayes—Not So Stupid After All?

    Article • International Statistical Review, December 2001, Wiley

    Keming Yu

  94. Bayesian quantile regression

    Article • Statistics & Probability Letters, October 2001, Elsevier

    Keming Yu

  95. Local Linear Quantile Regression

    Article • Journal of the American Statistical Association, March 1998, Taylor & Francis

    Keming Yu

  96. Local Linear Quantile Regression

    Article • Journal of the American Statistical Association, March 1998, JSTOR

    Keming Yu

  97. A comparison of local constant and local linear regression quantile estimators

    Article • Computational Statistics & Data Analysis, July 1997, Elsevier

    Keming Yu

  98. Bayesian analysis of a multiple-recapture model

    Article • Communication in Statistics- Theory and Methods, January 1995, Taylor & Francis

    Keming Yu