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