LEADER 04453nam 22007095 450 001 996495167803316 005 20240222142536.0 010 $a3-031-08329-6 024 7 $a10.1007/978-3-031-08329-7 035 $a(MiAaPQ)EBC7127053 035 $a(Au-PeEL)EBL7127053 035 $a(CKB)25208272300041 035 $a(DE-He213)978-3-031-08329-7 035 $a(PPN)265858844 035 $a(EXLCZ)9925208272300041 100 $a20221027d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances and Innovations in Statistics and Data Science$b[electronic resource] /$fedited by Wenqing He, Liqun Wang, Jiahua Chen, Chunfang Devon Lin 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (338 pages) 225 1 $aICSA Book Series in Statistics,$x2199-0999 311 08$aPrint version: He, Wenqing Advances and Innovations in Statistics and Data Science Cham : Springer International Publishing AG,c2022 9783031083280 320 $aIncludes bibliographical references and index. 327 $a1. 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. 330 $aThis book highlights selected papers from the 4th ICSA-Canada Chapter Symposium, as well as invited articles from established researchers in the areas of statistics and data science. It covers a variety of topics, including methodology development in data science, such as methodology in the analysis of high dimensional data, feature screening in ultra-high dimensional data and natural language ranking; statistical analysis challenges in sampling, multivariate survival models and contaminated data, as well as applications of statistical methods. With this book, readers can make use of frontier research methods to tackle their problems in research, education, training and consultation. 410 0$aICSA Book Series in Statistics,$x2199-0999 606 $aBiometry 606 $aStatistics 606 $aArtificial intelligence$xData processing 606 $aMachine learning 606 $aBiostatistics 606 $aApplied Statistics 606 $aData Science 606 $aMachine Learning 606 $aEstadística matemàtica$2thub 606 $aProcessament de dades$2thub 608 $aCongressos$2thub 608 $aLlibres electrònics$2thub 615 0$aBiometry. 615 0$aStatistics. 615 0$aArtificial intelligence$xData processing. 615 0$aMachine learning. 615 14$aBiostatistics. 615 24$aApplied Statistics. 615 24$aData Science. 615 24$aMachine Learning. 615 7$aEstadística matemàtica 615 7$aProcessament de dades 676 $a519.5 702 $aHe$b Wenqing 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996495167803316 996 $aAdvances and innovations in statistics and data science$93069999 997 $aUNISA