New Advances in Statistics and Data Science

Chapter 1 Statistical Distances and Their Role in Robustness

Chapter 2 The Out-of-Source Error in Multi-Source Cross Validation-Type Procedures

Chapter 3 Meta-Analysis for Rare Events As Binary Outcomes

Chapter 4 New Challenges and Strategies in Robust Optimal Design for Multicategory Logit Modelling

Chapter 5 Testing of Multivariate Spline Growth Model

Chapter 6 Uncertainty Quantification Using the Nearest Neighbor Gaussian Process

Chapter 7 Tuning Parameter Selection in the LASSO with Unspecified Propensity

Chapter 8 Adaptive Filtering Increases Power to Detect Differentially Expressed Genes

Chapter 9 Estimating Parameters in Complex Systems with Functional Outputs: A Wavelet-Based Approximate Bayesian Computation Approach

Chapter 10 A Maximum Likelihood Approach for Non-invasive Cancer Diagnosis Using Methylation Profiling of Cell-Free DNA from Blood

Chapter 11 A Simple and Efficient Statistical Approach for Designing an Early Phase II Clinical Trial: Ordinal Linear Contrast Test

Chapter 12 Landmark-Constrained Statistical Shape Analysis of Elastic Curves and Surfaces

Chapter 13 Phylogeny-Based Kernels with Application to Microbiome Association Studies

Chapter 14 Accounting for Differential Error in Time-to-Event Analyses Using Imperfect Electronic Health Record-Derived Endpoints

Chapter 15 Modeling Inter-Trade Durations in the Limit Order Market

Chapter 16 Assessment of Drug Interactions with Repeated Measurements

Chapter 17 Statistical Indices for Risk Tracking in Longitudinal Studies

Chapter 18 Statistical Analysis of Labor Market Integration: A Mixture Regression Approach

Chapter 19 Bias Correction in Age-Period-Cohort Models Using Eigen Analysis