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Advances and Innovations in Statistics and Data Science [[electronic resource] /] / edited by Wenqing He, Liqun Wang, Jiahua Chen, Chunfang Devon Lin



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Titolo: Advances and Innovations in Statistics and Data Science [[electronic resource] /] / edited by Wenqing He, Liqun Wang, Jiahua Chen, Chunfang Devon Lin Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Edizione: 1st ed. 2022.
Descrizione fisica: 1 online resource (338 pages)
Disciplina: 519.5
Soggetto topico: Biometry
Statistics
Artificial intelligence - Data processing
Machine learning
Biostatistics
Applied Statistics
Data Science
Machine Learning
Estadística matemàtica
Processament de dades
Soggetto genere / forma: Congressos
Llibres electrònics
Persona (resp. second.): HeWenqing
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: 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.
Sommario/riassunto: This book highlights selected papers from the 4th ICSA-Canada Chapter Symposium, as well as invited articles from established researchers in the areas of statistics and data science. It covers a variety of topics, including methodology development in data science, such as methodology in the analysis of high dimensional data, feature screening in ultra-high dimensional data and natural language ranking; statistical analysis challenges in sampling, multivariate survival models and contaminated data, as well as applications of statistical methods. With this book, readers can make use of frontier research methods to tackle their problems in research, education, training and consultation.
Titolo autorizzato: Advances and innovations in statistics and data science  Visualizza cluster
ISBN: 3-031-08329-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996495167803316
Lo trovi qui: Univ. di Salerno
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Serie: ICSA Book Series in Statistics, . 2199-0999