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Titlebook: Advances and Innovations in Statistics and Data Science; Wenqing He,Liqun Wang,Chunfang Devon Lin Book 2022 The Editor(s) (if applicable)

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发表于 2025-3-21 17:19:09 | 显示全部楼层 |阅读模式
期刊全称Advances and Innovations in Statistics and Data Science
影响因子2023Wenqing He,Liqun Wang,Chunfang Devon Lin
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发行地址Promotes methodology development in data science, statistics, and biostatistics.Showcases the latest work as presented at the 4th ICSA-Canada Chapter Symposium.Includes applications to a variety of fi
学科分类ICSA Book Series in Statistics
图书封面Titlebook: Advances and Innovations in Statistics and Data Science;  Wenqing He,Liqun Wang,Chunfang Devon Lin Book 2022 The Editor(s) (if applicable)
影响因子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.
Pindex Book 2022
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发表于 2025-3-21 20:57:45 | 显示全部楼层
Discovery and Development of Novel Drugs,iates. Theoretical results are established for the proposed method. Simulation studies are reported to assess the performance of the proposed method, together with an application of the proposed method to handle a mantle cell lymphoma microarray dataset.
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Artificial Intelligence and the Rule of Lawasymptotically normal base on the conditional likelihood given the truncation time, and the estimator for the nonparametric function achieves the optimal rate of convergence. Simulation studies are conducted to assure the theoretical results, and a real data set is analyzed using the proposed method.
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Artificial Intelligence and the Rule of Law and a general multivariate model covering normality as a special case. Further, the limit holds without any dimension reduction or preprocessing. The validity of the limit is demonstrated through simulations.
发表于 2025-3-23 01:28:50 | 显示全部楼层
https://doi.org/10.1007/978-81-322-2107-4 enhance the variable selection accuracy of Lasso regression. Systematic methods for constructing such designs are presented. The effectiveness of the proposed method is illustrated with several examples.
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