| 期刊全称 | Advanced Statistical Methods in Data Science | | 影响因子2023 | Ding-Geng Chen,Jiahua Chen,Hao Yu | | 视频video | | | 发行地址 | Written by experts who are engaged in advanced statistical modeling in big-data sciences.Includes timely discussions and presentations on methodological development and real applications.Introduces pu | | 学科分类 | ICSA Book Series in Statistics | | 图书封面 |  | | 影响因子 | This book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015. The aim of this Symposium was to promote advanced statistical methods in big-data sciences and to allow researchers to exchange ideas on statistics and data science and to embraces the challenges and opportunities of statistics and data science in the modern world. It addresses diverse themes in advanced statistical analysis in big-data sciences, including methods for administrative data analysis, survival data analysis, missing data analysis, high-dimensional and genetic data analysis, longitudinal and functional data analysis, the design and analysis of studies with response-dependent and multi-phase designs, time series and robust statistics, statistical inference based on likelihood, empirical likelihood and estimating functions. The editorial group selected 14 high-quality presentations from this successful symposium and invitedthe presenters to prepare a full chapter for this book in order to disseminate the findings and promote further research collaborations in this area. This timely book offers new methods that impact advanced | | Pindex | Book 2016 |
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发表于 2025-3-21 16:58:59
