Advances and innovations in statistics and data science:
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...
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| Other Authors: | , , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Cham, Switzerland
Springer
[2022]
|
| Series: | ICSA book series in statistics
|
| Subjects: | |
| Summary: | 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 |
| Physical Description: | xvii, 332 Seiten Illustrationen, Diagramme 694 grams |
| ISBN: | 9783031083280 |
Staff View
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| illustrated | Illustrated |
| index_date | 2024-07-03T21:36:09Z |
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| institution | BVB |
| isbn | 9783031083280 |
| language | English |
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| physical | xvii, 332 Seiten Illustrationen, Diagramme 694 grams |
| publishDate | 2022 |
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| publisher | Springer |
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| spelling | Advances and innovations in statistics and data science Wenqing He, Liqun Wang, Jiahua Chen, Chunfang Devon Lin, editors Cham, Switzerland Springer [2022] xvii, 332 Seiten Illustrationen, Diagramme 694 grams txt rdacontent n rdamedia nc rdacarrier ICSA book series in statistics 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 bicssc bisacsh Statistics Artificial intelligence—Data processing Machine learning Biometry Hardcover, Softcover / Biologie He, Wenqing edt Wang, Liqun edt Chen, Jiahua (DE-588)133610128 edt Lin, Chunfang Devon edt Erscheint auch als Online-Ausgabe 978-3-031-08329-7 |
| spellingShingle | Advances and innovations in statistics and data science bicssc bisacsh Statistics Artificial intelligence—Data processing Machine learning Biometry |
| title | Advances and innovations in statistics and data science |
| title_auth | Advances and innovations in statistics and data science |
| title_exact_search | Advances and innovations in statistics and data science |
| title_exact_search_txtP | Advances and innovations in statistics and data science |
| title_full | Advances and innovations in statistics and data science Wenqing He, Liqun Wang, Jiahua Chen, Chunfang Devon Lin, editors |
| title_fullStr | Advances and innovations in statistics and data science Wenqing He, Liqun Wang, Jiahua Chen, Chunfang Devon Lin, editors |
| title_full_unstemmed | Advances and innovations in statistics and data science Wenqing He, Liqun Wang, Jiahua Chen, Chunfang Devon Lin, editors |
| title_short | Advances and innovations in statistics and data science |
| title_sort | advances and innovations in statistics and data science |
| topic | bicssc bisacsh Statistics Artificial intelligence—Data processing Machine learning Biometry |
| topic_facet | bicssc bisacsh Statistics Artificial intelligence—Data processing Machine learning Biometry |
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