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Advances and innovations in statisti...

International Chinese Statistical Association., Canada Chapter. (2019 :)

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Advances and innovations in statistics and data science

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances and innovations in statistics and data science/ edited by Wenqing He ... [et al.].
其他作者:	He, Wenqing.
團體作者:	International Chinese Statistical Association.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xvii, 332 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Mathematical statistics - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-08329-7
ISBN:	9783031083297

Advances and innovations in statistics and data science
International Chinese Statistical Association.Canada Chapter.Kingston, Ont.)2019 :

Advances and innovations in statistics and data science[electronic resource] /edited by Wenqing He ... [et al.]. - Cham :Springer International Publishing :2022. - xvii, 332 p. :ill., digital ;24 cm. - ICSA book series in statistics,2199-0999. - ICSA book series in statistics..

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.

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.

ISBN: 9783031083297

Standard No.: 10.1007/978-3-031-08329-7doiSubjects--Topical Terms:

543180
Mathematical statistics
--Congresses.

LC Class. No.: QA276.A1 / I57 2019

Dewey Class. No.: 519.5

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