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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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樓主
發(fā)表于 2025-3-21 17:19:09 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advances and Innovations in Statistics and Data Science
影響因子2023Wenqing He,Liqun Wang,Chunfang Devon Lin
視頻videohttp://file.papertrans.cn/147/146523/146523.mp4
發(fā)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
學(xué)科分類ICSA Book Series in Statistics
圖書封面Titlebook: Advances and Innovations in Statistics and Data Science;  Wenqing He,Liqun Wang,Chunfang Devon Lin Book 2022 The Editor(s) (if applicable)
影響因子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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發(fā)表于 2025-3-21 20:57:45 | 只看該作者
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.
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發(fā)表于 2025-3-23 01:28:50 | 只看該作者
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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