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Advances and Innovations in Statistics and Data Science
158,45 €
+ 316 points
Description
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.
Spécifications
Parties prenantes
- Editeur:
Contenu
- Nombre de pages :
- 332
- Langue:
- Anglais
- Collection :
Caractéristiques
- EAN:
- 9783031083280
- Date de parution :
- 28-10-22
- Format:
- Livre relié
- Format numérique:
- Genaaid
- Dimensions :
- 156 mm x 234 mm
- Poids :
- 666 g
