Advances and Innovations in Statistics and Data Science

1. MiRNA-Gene Activity Interaction Networks (miGAIn): Integrated joint models of miRNA-gene targeting and disturbance in signal processing.- 2. Feature Screening for Ultrahigh-Dimensional Regression with Error-Prone Varables.- 3. Cosine Distribution in the Post-selection Inference of Least Angle Regression.- 4. Learning Finite Gaussian Mixture via Wasserstein Distance.- 5. An Entropy-based Method with Word Embedding Clustering for Comment Ranking.- 6. Estimation in Functional Linear Model with Incomplete Functional Observations.- 7. A Flexible Linear Single Index Proportional Hazards Regression Model for Multivariate Survival Data.- 8. Efficient Estimation of Semiparametric Linear Transformation Model with Left-Truncated and Current Status Data.- 9. Flexible Transformations for Modeling Compositional Data.- 10. Identifiability and Estimation of Autoregressive ARCH Models with Measurement Error.- 11. Modal Regression for Skewed, Truncated, or Contaminated Data with Outliers.- 12. Spatial Multilevel Modeling in the Galveston Bay Recovery Study Survey.- 13. Efficient Experimental Design for Regularized Linear Models.- 14. A Selective Overview of Statistical Models for Identification of Treatment-sensitive Subset.- 15. Analysis of Discrete Compositional Series While Accounting for Informative Time-dependent Cluster Sizes with Application to Air Pollution Related Emergency Room Visits.