All Stories

  1. A revisit to Pearson correlation coefficient under multiplicative distortions

    Article • Communications in Statistics - Simulation and Computation, April 2024, Taylor & Francis

    Dr Jun Zhang

  2. Covariance ratio under multiplicative distortion measurement errors

    Article • Communication in Statistics- Theory and Methods, December 2023, Taylor & Francis

    Dr Jun Zhang

  3. Estimation of correlation coefficient with monotone transformation and multiplicative distortions

    Article • Communication in Statistics- Theory and Methods, December 2023, Taylor & Francis

    Dr Jun Zhang

  4. Non parametric regression models with additive distortions

    Article • Communication in Statistics- Theory and Methods, November 2023, Taylor & Francis

    Dr Jun Zhang

  5. Testing symmetry of model errors for non linear multiplicative distortion measurement error models

    Article • Communication in Statistics- Theory and Methods, August 2023, Taylor & Francis

    Dr Jun Zhang

  6. Parametric hypothesis tests for exponentiality under multiplicative distortion measurement errors data

    Article • Communications in Statistics - Simulation and Computation, July 2023, Taylor & Francis

    Dr Jun Zhang

  7. Linear regression models with multiplicative distortions under new identifiability conditions

    Article • Statistica Neerlandica, May 2023, Wiley

    Dr Jun Zhang

  8. A parametric hypothesis test for a global power law and local nonparametric trend model with multiplicative distortion measurement errors

    Article • Communications in Statistics - Simulation and Computation, February 2023, Taylor & Francis

    Dr Jun Zhang

  9. Specification Testing of Regression Models with Mixed Discrete and Continuous Predictors

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

    Dr Jun Zhang

  10. Exponential parametric distortion nonlinear measurement errors Models

    Article • Communication in Statistics- Theory and Methods, August 2022, Taylor & Francis

    Dr Jun Zhang

  11. Partial linear additive distortion measurement errors models

    Article • Communication in Statistics- Theory and Methods, May 2022, Taylor & Francis

    Dr Jun Zhang

  12. Additive distortion measurement errors regression models with exponential calibration

    Article • Journal of Statistical Computation and Simulation, April 2022, Taylor & Francis

    Dr Jun Zhang

  13. Nonparametric multiplicative distortion measurement errors models with bias reduction

    Article • Communications in Statistics - Simulation and Computation, April 2022, Taylor & Francis

    Dr Jun Zhang

  14. Measurement errors models with exponential parametric multiplicative distortions

    Article • Journal of Statistical Computation and Simulation, February 2022, Taylor & Francis

    Dr Jun Zhang

  15. Estimation of correlation coefficient under a linear multiplicative distortion measurement errors model

    Article • Communications in Statistics - Simulation and Computation, November 2021, Taylor & Francis

    Dr Jun Zhang

  16. Nonlinear multiplicative distortion regression models with second-order estimation

    Article • Communications in Statistics - Simulation and Computation, November 2021, Taylor & Francis

    Dr Jun Zhang

  17. Average derivation estimation with multiplicative distortion measurement errors

    Article • Communications in Statistics - Simulation and Computation, October 2021, Taylor & Francis

    Dr Jun Zhang

  18. Single-index relative error regression models

    Article • Communications in Statistics - Simulation and Computation, September 2021, Taylor & Francis

    Dr Jun Zhang

  19. Modal linear regression models with additive distortion measurement errors

    Article • Journal of Statistical Computation and Simulation, September 2021, Taylor & Francis

    Dr Jun Zhang

  20. Estimation of correlation coefficient with general distortion measurement errors

    Article • Communications in Statistics - Simulation and Computation, August 2021, Taylor & Francis

    Dr Jun Zhang

  21. Maximum nonparametric kernel likelihood estimation for multiplicative linear regression models

    Article • Statistical Papers, August 2021, Springer Science + Business Media

    Dr Jun Zhang

  22. Modal linear regression models with multiplicative distortion measurement errors

    Article • Statistical Analysis and Data Mining The ASA Data Science Journal, August 2021, Wiley

    Dr Jun Zhang

  23. Exponential calibration for correlation coefficient with additive distortion measurement errors

    Article • Statistical Analysis and Data Mining The ASA Data Science Journal, April 2021, Wiley

    Dr Jun Zhang

  24. Logarithmic calibration for nonparametric multiplicative distortion measurement errors models

    Article • Journal of Statistical Computation and Simulation, April 2021, Taylor & Francis

    Dr Jun Zhang

  25. Model checking for multiplicative linear regression models with mixed estimators

    Article • Statistica Neerlandica, March 2021, Wiley

    Dr Jun Zhang

  26. Measuring the symmetry of model errors for varying coefficient regression models based on correlation coefficient

    Article • Communications in Statistics - Simulation and Computation, March 2021, Taylor & Francis

    Dr Jun Zhang

  27. Detection the symmetry or asymmetry of model errors in partial linear models

    Article • Communications in Statistics - Simulation and Computation, March 2021, Taylor & Francis

    Dr Jun Zhang

  28. Kernel density estimation for multiplicative distortion measurement regression models

    Article • Communications in Statistics - Simulation and Computation, March 2021, Taylor & Francis

    Dr Jun Zhang

  29. Testing for conditional independence: A groupwise dimension reduction‐based adaptive‐to‐model approach

    Article • Scandinavian Journal of Statistics, January 2021, Wiley

    Dr Jun Zhang

  30. Absolute logarithmic calibration for correlation coefficient with multiplicative distortion

    Article • Communications in Statistics - Simulation and Computation, December 2020, Taylor & Francis

    Dr Jun Zhang

  31. General least product relative error estimation for multiplicative regression models with or without multiplicative distortion measurement errors

    Article • Communications in Statistics - Simulation and Computation, July 2020, Taylor & Francis

    Dr Jun Zhang

  32. Partial index additive models with additive distortion measurement errors

    Article • Communications in Statistics - Simulation and Computation, May 2020, Taylor & Francis

    Dr Jun Zhang

  33. Detection of the symmetry of model errors for partial linear single-index models

    Article • Communications in Statistics - Simulation and Computation, April 2020, Taylor & Francis

    Dr Jun Zhang

  34. Logarithmic calibration for partial linear models with multiplicative distortion measurement errors

    Article • Journal of Statistical Computation and Simulation, April 2020, Taylor & Francis

    Dr Jun Zhang

  35. Logarithmic calibration for multiplicative distortion measurement errors regression models

    Article • Statistica Neerlandica, March 2020, Wiley

    Dr Jun Zhang

  36. Conditional absolute mean calibration for partial linear multiplicative distortion measurement errors models

    Article • Computational Statistics & Data Analysis, January 2020, Elsevier

    Dr Jun Zhang

  37. Correlation coefficient-based measure for checking symmetry or asymmetry of a continuous variable with additive distortion

    Article • Communications in Statistics - Simulation and Computation, December 2019, Taylor & Francis

    Dr Jun Zhang

  38. Nonlinear regression models with profile nonlinear least squares estimation

    Article • Communications in Statistics - Simulation and Computation, December 2019, Taylor & Francis

    Dr Jun Zhang

  39. Multiplicative distortion measurement errors linear models with general moment identifiability condition

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

    Dr Jun Zhang

  40. Testing symmetry of model errors for nonparametric regression models by using correlation coefficient1

    Article • Communications in Statistics - Simulation and Computation, September 2019, Taylor & Francis

    Dr Jun Zhang

  41. Testing symmetry for additive distortion measurement errors data

    Article • Communications in Statistics - Simulation and Computation, September 2019, Taylor & Francis

    Dr Jun Zhang

  42. Estimation and variable selection for partial linear single-index distortion measurement errors models

    Article • Statistical Papers, June 2019, Springer Science + Business Media

    Dr Jun Zhang

  43. Linear regression models with general distortion measurement errors

    Article • Communications in Statistics - Simulation and Computation, May 2019, Taylor & Francis

    Dr Jun Zhang

  44. Residuals based Kolmogorov-Smirnov and Cramér-von Mises tests for varying coefficient models

    Article • Communications in Statistics - Simulation and Computation, March 2019, Taylor & Francis

    Dr Jun Zhang

  45. Nonlinear regression models with general distortion measurement errors

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

    Dr Jun Zhang

  46. Nonlinear regression models with single‐index heteroscedasticity

    Article • Statistica Neerlandica, February 2019, Wiley

    Dr Jun Zhang

  47. Detection of marginal heteroscedasticity for partial linear single-index models

    Article • Communications in Statistics - Simulation and Computation, February 2019, Taylor & Francis

    Dr Jun Zhang

  48. Correlation curve estimation for multiplicative distortion measurement errors data

    Article • Journal of Nonparametric Statistics, February 2019, Taylor & Francis

    Dr Jun Zhang

  49. Estimation of the error distribution function for partial linear single-index models

    Article • Communications in Statistics - Simulation and Computation, December 2018, Taylor & Francis

    Dr Jun Zhang

  50. Estimation and hypothesis test for partial linear multiplicative models

    Article • Computational Statistics & Data Analysis, December 2018, Elsevier

    Dr Jun Zhang

  51. Statistical inference for linear regression models with additive distortion measurement errors

    Article • Statistical Papers, November 2018, Springer Science + Business Media

    Dr Jun Zhang

  52. Dimension reduction regressions with measurement errors subject to additive distortion

    Article • Journal of Statistical Computation and Simulation, May 2018, Taylor & Francis

    Dr Jun Zhang

  53. Using single-index ODEs to study dynamic gene regulatory network

    Article • PLoS ONE, February 2018, PLOS

    Dr Jun Zhang

  54. Testing symmetry based on empirical likelihood

    Article • Journal of Applied Statistics, January 2018, Taylor & Francis

    Dr Jun Zhang

  55. Partially linear mixed-effects joint models for skewed and missing longitudinal competing risks outcomes

    Article • Journal of Biopharmaceutical Statistics, December 2017, Taylor & Francis

    Dr Jun Zhang

  56. Quantile regression estimation for distortion measurement error data

    Article • Communication in Statistics- Theory and Methods, October 2017, Taylor & Francis

    Dr Jun Zhang

  57. A constructive hypothesis test for the single-index models with two groups

    Article • Annals of the Institute of Statistical Mathematics, September 2017, Springer Science + Business Media

    Dr Jun Zhang

  58. Estimation and hypothesis test on partial linear models with additive distortion measurement errors

    Article • Computational Statistics & Data Analysis, August 2017, Elsevier

    Dr Jun Zhang

  59. On the single-index model estimate of the conditional density function: Consistency and implementation

    Article • Journal of Statistical Planning and Inference, August 2017, Elsevier

    Dr Jun Zhang

  60. Bayesian varying coefficient mixed-effects joint models with asymmetry and missingness

    Article • Statistical Modelling, March 2017, SAGE Publications

    Dr Jun Zhang

  61. Partial linear single-index models with additive distortion measurement errors

    Article • Communication in Statistics- Theory and Methods, February 2017, Taylor & Francis

    Dr Jun Zhang

  62. A Hypothesis Testing Based Method for Normalization and Differential Expression Analysis of RNA-Seq Data

    Article • PLoS ONE, January 2017, PLOS

    Dr Jun Zhang

  63. Ridge-forward quadratic discriminant analysis in high-dimensional situations

    Article • Journal of Systems Science and Complexity, December 2016, Springer Science + Business Media

    Dr Jun Zhang

  64. A Reliability Test of a Complex System Based on Empirical Likelihood

    Article • PLoS ONE, October 2016, PLOS

    Dr Jun Zhang

  65. Statistical inference on restricted partial linear regression models with partial distortion measurement errors

    Article • Statistica Neerlandica, October 2016, Wiley

    Dr Jun Zhang

  66. Stable prediction in high-dimensional linear models

    Article • Statistics and Computing, August 2016, Springer Science + Business Media

    Dr Jun Zhang

  67. Correlation analysis with additive distortion measurement errors

    Article • Journal of Statistical Computation and Simulation, August 2016, Taylor & Francis

    Dr Jun Zhang

  68. Statistical inference on restricted linear regression models with partial distortion measurement errors

    Article • Brazilian Journal of Probability and Statistics, August 2016, Institute of Mathematical Statistics

    Dr Jun Zhang

  69. Statistical inference on partial linear additive models with distortion measurement errors

    Article • Statistical Methodology, November 2015, Elsevier

    Dr Jun Zhang

  70. Efficient estimation for marginal generalized partially linear single-index models with longitudinal data

    Article • Test, October 2015, Springer Science + Business Media

    Dr Jun Zhang

  71. Generalized varying coefficient partially linear measurement errors models

    Article • Annals of the Institute of Statistical Mathematics, July 2015, Springer Science + Business Media

    Dr Jun Zhang

  72. Checking the adequacy for a distortion errors-in-variables parametric regression model

    Article • Computational Statistics & Data Analysis, March 2015, Elsevier

    Dr Jun Zhang

  73. Generalized partially linear single-index model for zero-inflated count data

    Article • Statistics in Medicine, February 2015, Wiley

    Dr Jun Zhang

  74. Estimation of a groupwise additive multiple-index model and its applications

    Article • Statistica Sinica, January 2015, The Mass Spectrometry Society of Japan

    Dr Jun Zhang

  75. Estimating the conditional single-index error distribution with a partial linear mean regression

    Article • Test, August 2014, Springer Science + Business Media

    Dr Jun Zhang

  76. Nonlinear measurement error models subject to additive distortion

    Article • Journal of Statistical Planning and Inference, July 2014, Elsevier

    Dr Jun Zhang

  77. A revisit to correlation analysis for distortion measurement error data

    Article • Journal of Multivariate Analysis, February 2014, Elsevier

    Dr Jun Zhang

  78. Integrated conditional moment test for partially linear single index models incorporating dimension-reduction

    Article • Electronic Journal of Statistics, January 2014, Institute of Mathematical Statistics

    Dr Jun Zhang

  79. Surrogate dimension reduction in measurement error regressions

    Article • Statistica Sinica, January 2014, Institute of Statistical Science

    Dr Jun Zhang

  80. Estimation and variable selection in partial linear single index models with error-prone linear covariates

    Article • Statistics, June 2013, Taylor & Francis

    Dr Jun Zhang

  81. Estimation in linear regression models with measurement errors subject to single-indexed distortion

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

    Dr Jun Zhang

  82. Nonlinear models with measurement errors subject to single-indexed distortion

    Article • Journal of Multivariate Analysis, November 2012, Elsevier

    Dr Jun Zhang

  83. Partial linear single index models with distortion measurement errors

    Article • Annals of the Institute of Statistical Mathematics, July 2012, Springer Science + Business Media

    Dr Jun Zhang

  84. Robust rank correlation based screening

    Article • The Annals of Statistics, June 2012, Institute of Mathematical Statistics

    Dr Jun Zhang

  85. On a dimension reduction regression with covariate adjustment

    Article • Journal of Multivariate Analysis, February 2012, Elsevier

    Dr Jun Zhang

  86. A dimension reduction based approach for estimation and variable selection in partially linear single-index models with high-dimensional covariates

    Article • Electronic Journal of Statistics, January 2012, Institute of Mathematical Statistics

    Dr Jun Zhang