TRANSFER LEARNING-BASED TRAFFIC PREDICTION UNDER ABNORMAL SITUATIONS
                            
                         
                                            
                            FUNCTIONAL CLUSTERING ANALYSIS FOR TRAFFIC STATES FORECASTING
                            
                         
                                            
                            DYNAMIC RESCUE FORCES DISPATCHING AND EMERGENCY RESOURCE ALLOCATION FOR URBAN WATERLOG DISASTERS
                            
                         
                                            
                            SPARSE ESTIMATION FOR CUBIC POLYNOMIAL SINGLE-INDEX MODEL
                            
                         
                                            
                            VARIABLE SELECTION FOR SPARSE ULTRA-HIGH DIMENSIONAL VARYING COEFFICIENT MODELS BASED ON HIGH DIMENSIONAL ORDINARY LEAST SQUARES PROJECTION
                            
                         
                                            
                            HIGH DIMENSIONAL SLICED INVERSE REGRESSION
                            
                         
                                            
                            Shortest Confidence/Prediction Interval Estimation in Nonhomogeneous Poisson Process with Bounded Intensity Function
                            
                         
                                            
                            Type IV multivariate zero-inflated Poisson model with applications
                            
                         
                                            
                            CAUSAL INFERENCE FOR SURVIVAL OUTCOMES WITH MULTIPLE CAUSES
                            
                         
                                            
                            Quantifying the Career Development of Performers Based on Network Analysis
                            
                         
                                            
                            GAIT PATTERN ANALYSIS FOR CLASSIFICATION OF PARKINSON’S DISEASE AND DEMENTIA
                            
                         
                                            
                            SPECTRAL ANALYSIS OF LARGE DIMENSIONAL SAMPLE AUTOCORRELATION AND AUTOCOVARIANCE MATRICES
                            
                         
                                            
                            EXPLORATION OF MORE EFFICIENT AND ACCURATE SGMCMC ALGORITHM
                            
                         
                                            
                            ALGORITHM EXPLORATION FOR MODELING A STATIONARY COUNT TIME SERIES
                            
                         
                                            
                            NON-UNIFORM BERRY-ESSEEN BOUNDS BY EXCHANGEABLE PAIRS
                            
                         
                                            
                            Proportional and Compositional Data Modeling with Possible Zero Observations
                            
                         
                                            
                            Understanding Neural Networks from Geometrical Viewpoints
                            
                         
                                            
                            COMPARISONS OF MULTIPLE INDEPENDENT GROUPS FOR CONTINUOUS PROPORTIONAL DATA
                            
                         
                                            
                            Normalized Expectation–Maximization (NEM) Algorithm
                            
                         
                                            
                            VARIABLE SELECTION BASED ON CONSTRAINED PROJECTION LEAST SQUARES FOR GENERALIZED PARTIAL LINEAR MODELS