Li Runze (33 results)
Language: English
Published by CRC Press, 2005
Series: Book 3 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Hardcover
Seller: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.ThriftBooks-Atlanta
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£ 12.43
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Hardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Language: English
Published by Chapman and Hall/CRC, 2020
Series: Book 3 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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£ 58.62
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Condition: As New. Unread book in perfect condition.
Language: English
Published by T And F India, 2026
- Hardcover
Seller: Books in my Basket, New Delhi, IndiaBooks in my Basket
Contact seller5-star sellerHardcover. Condition: New. ISBN:9781032941752,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.
Language: English
Published by Chapman and Hall/CRC, 2020
Series: Book 3 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Softcover
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£ 65.97
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Condition: New.
Language: English
Published by Chapman and Hall/CRC, 2020
Series: Book 3 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Softcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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£ 61.32
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Condition: New. pp. 304.
Language: English
Published by Chapman and Hall/CRC, 2020
Series: Book 3 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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£ 69.11
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Condition: New. pp. 304.
Language: English
Published by Chapman and Hall/CRC, 2020
Series: Book 3 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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£ 58.42
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Condition: As New. Unread book in perfect condition.
Language: English
Published by Chapman and Hall/CRC, 2020
Series: Book 3 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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£ 58.69
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Condition: New.
Language: English
Published by Chapman and Hall/CRC, 2020
Series: Book 3 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Softcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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£ 73.39
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Condition: New. pp. 304.
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Language: English
Published by CRC Press, 2020
Series: Book 3 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Softcover
Seller: moluna, Greven, Germanymoluna
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£ 63.80
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Condition: New. Kai-Tai Fang, Runze Li, Agus SudjiantoComputer simulations based on mathematical models have become ubiquitous across the engineering disciplines and throughout the physical sciences. Successful use of a simulation model, however, requires.
Language: English
Published by Chapman and Hall/CRC, 2005
Series: Book 3 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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£ 125.69
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Condition: New. In.
Language: English
Published by Chapman and Hall/CRC 2020-08-17, 2020
- Hardcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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£ 127.77
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Hardcover. Condition: New.
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Statistical Foundations of Data Science
Fan, Jianqing; Li, Runze; Zhang, Cun-Hui; Zou, Hui; Moraga, Paula
Language: English
Published by Chapman and Hall/CRC, 2020
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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£ 128.21
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Condition: New.
Statistical Foundations of Data Science
Fan, Jianqing; Li, Runze; Zhang, Cun-Hui; Zou, Hui; Moraga, Paula
Language: English
Published by Chapman and Hall/CRC, 2020
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condition: New.
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Statistical Foundations of Data Science
Fan, Jianqing; Li, Runze; Zhang, Cun-Hui; Zou, Hui; Moraga, Paula
Language: English
Published by Chapman and Hall/CRC, 2020
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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£ 156.60
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Condition: As New. Unread book in perfect condition.
Language: English
Published by Taylor & Francis Group, 2005
Series: Book 3 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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£ 156.06
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Condition: New. pp. xii + 290 Index.
Language: English
Published by Chapman and Hall/CRC, 2005
Series: Book 3 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Hardcover
Seller: BennettBooksLtd, Los Angeles, CA, U.S.A.BennettBooksLtd
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£ 155.51
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hardcover. Condition: New. In shrink wrap. Looks like an interesting title.
Language: English
Published by Chapman and Hall/CRC, 2020
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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£ 148.73
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Condition: New. In.
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Statistical Foundations of Data Science
Fan, Jianqing; Li, Runze; Zhang, Cun-Hui; Zou, Hui; Moraga, Paula
Language: English
Published by Chapman and Hall/CRC, 2020
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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£ 149.82
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Condition: As New. Unread book in perfect condition.
Language: English
Published by Taylor & Francis Group, 2005
Series: Book 3 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Hardcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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£ 165.52
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Condition: New. pp. xii + 290, Abbreviations.
Language: English
Published by Chapman & Hall, 2005
Series: Book 3 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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£ 164.50
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Hardcover. Condition: Brand New. 1st edition. 304 pages. 9.25x6.25x1.00 inches. In Stock.
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Language: English
Published by Taylor and Francis Inc, US, 2020
- Hardcover
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.Rarewaves USA
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£ 194.51
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Hardback. Condition: New. Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research mo…nograph on high-dimensional statistics, sparsity and covariance learning, machine learning, and statistical inference. It includes ample exercises that involve both theoretical studies as well as empirical applications.The book begins with an introduction to the stylized features of big data and their impacts on statistical analysis. It then introduces multiple linear regression and expands the techniques of model building via nonparametric regression and kernel tricks. It provides a comprehensive account on sparsity explorations and model selections for multiple regression, generalized linear models, quantile regression, robust regression, hazards regression, among others. High-dimensional inference is also thoroughly addressed and so is feature screening. The book also provides a comprehensive account on high-dimensional covariance estimation, learning latent factors and hidden structures, as well as their applications to statistical estimation, inference, prediction and machine learning problems. It also introduces thoroughly statistical machine learning theory and methods for classification, clustering, and prediction. These include CART, random forests, boosting, support vector machines, clustering algorithms, sparse PCA, and deep learning.
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Language: English
Published by Taylor and Francis Inc, US, 2020
- Hardcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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£ 208.16
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Hardback. Condition: New. Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research mo…nograph on high-dimensional statistics, sparsity and covariance learning, machine learning, and statistical inference. It includes ample exercises that involve both theoretical studies as well as empirical applications.The book begins with an introduction to the stylized features of big data and their impacts on statistical analysis. It then introduces multiple linear regression and expands the techniques of model building via nonparametric regression and kernel tricks. It provides a comprehensive account on sparsity explorations and model selections for multiple regression, generalized linear models, quantile regression, robust regression, hazards regression, among others. High-dimensional inference is also thoroughly addressed and so is feature screening. The book also provides a comprehensive account on high-dimensional covariance estimation, learning latent factors and hidden structures, as well as their applications to statistical estimation, inference, prediction and machine learning problems. It also introduces thoroughly statistical machine learning theory and methods for classification, clustering, and prediction. These include CART, random forests, boosting, support vector machines, clustering algorithms, sparse PCA, and deep learning.
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Language: English
Published by CRC Press, 2020
- Hardcover
Seller: moluna, Greven, Germanymoluna
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£ 168.21
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Condition: New. The authors are international authorities and leaders on the presented topics. All are fellows of the Institute of Mathematical Statistics and the American Statistical Association. Jianqing Fan is Frederick L. Moore Professor, Princeton Uni.
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Language: English
Published by Taylor and Francis Inc, US, 2020
- Hardcover
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.Rarewaves USA United
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£ 189.56
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Hardback. Condition: New. Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research mo…nograph on high-dimensional statistics, sparsity and covariance learning, machine learning, and statistical inference. It includes ample exercises that involve both theoretical studies as well as empirical applications.The book begins with an introduction to the stylized features of big data and their impacts on statistical analysis. It then introduces multiple linear regression and expands the techniques of model building via nonparametric regression and kernel tricks. It provides a comprehensive account on sparsity explorations and model selections for multiple regression, generalized linear models, quantile regression, robust regression, hazards regression, among others. High-dimensional inference is also thoroughly addressed and so is feature screening. The book also provides a comprehensive account on high-dimensional covariance estimation, learning latent factors and hidden structures, as well as their applications to statistical estimation, inference, prediction and machine learning problems. It also introduces thoroughly statistical machine learning theory and methods for classification, clustering, and prediction. These include CART, random forests, boosting, support vector machines, clustering algorithms, sparse PCA, and deep learning.
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Language: English
Published by Taylor and Francis Inc, US, 2020
- Hardcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
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£ 188.96
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Hardback. Condition: New. Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research mo…nograph on high-dimensional statistics, sparsity and covariance learning, machine learning, and statistical inference. It includes ample exercises that involve both theoretical studies as well as empirical applications.The book begins with an introduction to the stylized features of big data and their impacts on statistical analysis. It then introduces multiple linear regression and expands the techniques of model building via nonparametric regression and kernel tricks. It provides a comprehensive account on sparsity explorations and model selections for multiple regression, generalized linear models, quantile regression, robust regression, hazards regression, among others. High-dimensional inference is also thoroughly addressed and so is feature screening. The book also provides a comprehensive account on high-dimensional covariance estimation, learning latent factors and hidden structures, as well as their applications to statistical estimation, inference, prediction and machine learning problems. It also introduces thoroughly statistical machine learning theory and methods for classification, clustering, and prediction. These include CART, random forests, boosting, support vector machines, clustering algorithms, sparse PCA, and deep learning.
Published by T&F INDIA, 2026
- Hardcover
- International Edition
Seller: UK BOOKS STORE, London, LONDO, United KingdomUK BOOKS STORE
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£ 73.62
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Hardcover. Condition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requ…ested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Published by Chapman & Hall, 2020
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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£ 200.84
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Hardcover. Condition: Brand New. 600 pages. 9.50x6.25x1.50 inches. In Stock.
Language: English
Published by Taylor & Francis Group, 2005
Series: Book 3 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Hardcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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£ 142.64
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Condition: New. pp. xii + 290 Illus. This item is printed on demand.
Language: English
Published by Chapman & Hall, 2005
Series: Book 3 of 23 - Chapman & Hall/CRC Computer Science & Data Analysis
- Hardcover
- Print on Demand
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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£ 147.15
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Hardcover. Condition: Brand New. 1st edition. 304 pages. 9.25x6.25x1.00 inches. In Stock. This item is printed on demand.
