All Stories

  1. Jump Regression Analysis
  2. Comparing two hazard curves when there is a treatment time‐lag effect
  3. Generalized single index modeling of longitudinal data with multiple binary responses
  4. Introduction
  5. Basic Statistical Concepts and Methods
  6. Simultaneous optimal control of directional missed discovery rates in data stream diagnosis
  7. Multiblock partial least squares and rank aggregation: Applications to detection of bacteriophages associated with antimicrobial resistance in the presence of potential confounding factors
  8. Optimal constrained design of control charts using stochastic approximations
  9. Online monitoring of air quality using PCA-based sequential learning
  10. Nonparametric online monitoring of dynamic networks
  11. Novel nonparametric control charts for monitoring dispersion of count data
  12. SpTe2M: An R package for nonparametric modeling and monitoring of spatiotemporal data
  13. Predicting high‐risk periods for weight regain following initial weight loss
  14. Signal Classification in Large-Scale Multi-Sequence Integrative Analysis Under the HMM Dependence
  15. A General Framework for Robust Monitoring of Multivariate Correlated Processes
  16. Multivariate single index modeling of longitudinal data with multiple responses
  17. Water Resource Surveillance for the Salton Sea in California By Adaptive Sequential Monitoring of Its Landsat Images
  18. Control charts for dynamic process monitoring with an application to air pollution surveillance
  19. Robust monitoring of multivariate processes with short‐ranged serial data correlation
  20. Spatio-temporal process monitoring using exponentially weighted spatial LASSO
  21. Dynamic Disease Screening by Joint Modelling of Survival and Longitudinal Data
  22. Impact of transition from face‐to‐face to telehealth on behavioral obesity treatment during the COVID‐19 pandemic
  23. Sequential adaptive design for jump regression estimation
  24. Non-parametric treatment time-lag effect estimation
  25. An adaptive CUSUM chart for drift detection
  26. Data-Driven Determination of the Number of Jumps in Regression Curves
  27. Reliable Post-Signal Fault Diagnosis for Correlated High-Dimensional Data Streams
  28. Edge-Preserving Denoising of Image Sequences
  29. Nonparametric Deconvolution by Fourier Transformation and Other Related Approaches
  30. Joint modeling of multivariate nonparametric longitudinal data and survival data: A local smoothing approach
  31. A comprehensive distribution‐free scheme for tri‐aspect surveillance of complex processes
  32. Effective disease surveillance by using covariate information
  33. Phase I monitoring of serially correlated nonparametric profiles by mixed‐effects modeling
  34. Transparent Sequential Learning for Statistical Process Control of Serially Correlated Data
  35. Design variable-sampling control charts using covariate information
  36. Adaptive Process Monitoring Using Covariate Information
  37. A nonparametric CUSUM chart for monitoring multivariate serially correlated processes
  38. A robust dynamic screening system by estimation of the longitudinal data distribution
  39. Early detection of high disease activity in juvenile idiopathic arthritis by sequential monitoring of patients' health‐related quality of life scores
  40. Comparing crossing hazard rate functions by joint modelling of survival and longitudinal data
  41. Nonparametric estimation of the spatio‐temporal covariance structure
  42. An Effective Method for Online Disease Risk Monitoring
  43. Errors‐in‐variables jump regression using local clustering
  44. Process Monitoring ROC Curve for Evaluating Dynamic Screening Methods
  45. A General Charting Scheme For Monitoring Serially Correlated Data With Short-Memory Dependence and Nonparametric Distributions
  46. A New Process Control Chart for Monitoring Short-Range Serially Correlated Data
  47. Objective Preoperative Parameters Predict Difficult Pelvic Dissections and Clinical Outcomes
  48. Fast computing for dynamic screening systems when analyzing correlated data
  49. Phase II monitoring of free-form surfaces: An application to 3D printing
  50. Nonparametric Monitoring of Multiple Count Data
  51. accelerate the 3d image registration by using Spark system
  52. Spatiotemporal incidence rate data analysis by nonparametric regression
  53. Some perspectives on nonparametric statistical process control
  54. Peter Hall: My Mentor, Collaborator and Friend
  55. Efficient Blind Image Deblurring Using Nonparametric Regression And Local Pixel Clustering
  56. Rejoinder
  57. Phase I Monitoring of Spatial Surface Data from 3D Printing
  58. Editor’s Report
  59. A parametric intensity-based 3D image registration method for magnetic resonance imaging
  60. Big Data? More Challenges!
  61. Error-in-Variables Jump Regression Using Local Clustering
  62. Editorial Announcement
  63. Editor’s Report
  64. Comparison of Multiple Hazard Rate Functions
  65. Statistical monitoring of the hand, foot and mouth disease in China
  66. Blind image deblurring using jump regression analysis
  67. Editor’s Report
  68. Introduction to Statistical Process Control
  69. Nonparametric regression analysis of multivariate longitudinal data
  70. On Nonparametric Statistical Process Control of Univariate Processes
  71. Preface
  72. Preface
  73. Intensity-Based Image Registration by Nonparametric Local Smoothing
  74. 3-D Image Denoising by Local Smoothing and Nonparametric Regression
  75. Jump Regression Analysis
  76. Nonparametric Profile Monitoring by Mixed Effects Modeling
  77. Multivariate Statistical Process Control Using LASSO
  78. Statistical modeling of the time course of tantrum anger
  79. Jump Detection in a Regression Curve and Its Derivative
  80. Distribution-free cumulative sum control charts using bootstrap-based control limits
  81. On Image Registration in Magnetic Resonance Imaging
  82. Distribution-free multivariate process control based on log-linear modeling
  83. Local Smoothing Image Segmentation for Spotted Microarray Images
  84. A Two-Stage Procedure for Comparing Hazard Rate Functions
  85. Nonparametric estimation of a point-spread function in multivariate problems
  86. Jump Surface Estimation, Edge Detection, and Image Restoration
  87. Edge-preserving image denoising and estimation of discontinuous surfaces
  88. Nonparametric Methods for Solving the Berkson Errors-in-Variables Problem
  89. Generalized Least Squares
  90. Discrete-transform approach to deconvolution problems
  91. Image Processing and Jump Regression Analysis
  92. The Local Piecewisely Linear Kernel Smoothing Procedure for Fitting Jump Regression Surfaces
  93. A Rank-Based Multivariate CUSUM Procedure
  94. Multivariate Image Analysis
  95. Discontinuous regression surfaces fitting
  96. A Local Polynomial Jump-Detection Algorithm in Nonparametric Regression
  97. Local Polynomial Jump-Detection Algorithm in Nonparametric Regression