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Targeted Learning Data Science by Laan Mark (24 results)
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Targeted Learning in Data Science : Causal Inference for Complex Longitudinal Studies
Book 149 of 160: Springer Series in StatisticsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies (Springer Series in Statistics)
Book 149 of 160: Springer Series in StatisticsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 106.31
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: As New. Unread book in perfect condition.
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Targeted Learning in Data Science : Causal Inference for Complex Longitudinal Studies
Book 149 of 160: Springer Series in StatisticsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Taschenbuch. Condition: Neu. Targeted Learning in Data Science | Causal Inference for Complex Longitudinal Studies | Mark J. Van Der Laan (u. a.) | Taschenbuch | xlii | Englisch | 2018 | Springer | EAN 9783030097363 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Hardcover. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook for graduate students in statistics, data science, and public health dealswith the practical challenges that come with big, complex, and dynamic data. It presentsa scientific roadmap to translate real-world data science applications into formal statisticalestimation problems by using the general template of targeted maximum likelihoodestimators. These targeted machine learning algorithms estimate quantities of interestwhile still providing valid inference. Targeted learning methods within data science area critical component for solving scientific problems in the modern age. The techniquescan answer complex questions including optimal rules for assigning treatment basedon longitudinal data with time-dependent confounding, as well as other estimands independent data structures, such as networks. Included in Targeted Learning in DataScience are demonstrations with soft ware packages and real data sets that present acase that targeted learning is crucial for the next generation of statisticians and datascientists. Th is book is a sequel to the first textbook on machine learning for causalinference, Targeted Learning, published in 2011.Mark van der Laan, PhD, is Jiann-Ping Hsu/Karl E. Peace Professor of Biostatistics andStatistics at UC Berkeley. His research interests include statistical methods in genomics,survival analysis, censored data, machine learning, semiparametric models, causalinference, and targeted learning. Dr. van der Laan received the 2004 Mortimer SpiegelmanAward, the 2005 Van Dantzig Award, the 2005 COPSS Snedecor Award, the 2005COPSS Presidential Award, and has graduated over 40 PhD students in biostatisticsand statistics.Sherri Rose, PhD, is Associate Professor of Health Care Policy (Biostatistics) at HarvardMedical School. Her work is centered on developing and integratinginnovative statisticalapproaches to advance human health. Dr. Rose's methodological research focuseson nonparametric machine learning for causal inference and prediction. She co-leadsthe Health Policy Data Science Lab and currently serves as an associate editor for theJournal of the American Statistical Association and Biostatistics.
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Hardcover. Condition: Brand New. 1st edition. 640 pages. 9.25x6.25x1.75 inches. In Stock.
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Hardcover. Condition: new. New Copy. Customer Service Guaranteed.
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Condition: new. Questo è un articolo print on demand.
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Condition: new. Questo è un articolo print on demand.
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Targeted Learning in Data Science
Book 149 of 160: Springer Series in StatisticsLanguage: English
Published by Springer International Publishing, 2018
ISBN 10: 3030097366 ISBN 13: 9783030097363
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides essential data analysis tools for answering complex big data questions based on real world dataContains machine learning estimators that provide inference within data science Offers applications that .
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Targeted Learning in Data Science
Book 149 of 160: Springer Series in StatisticsLanguage: English
Published by Springer, Springer Dez 2018, 2018
ISBN 10: 3030097366 ISBN 13: 9783030097363
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Provides essential data analysis tools for answering complex big data questions based on real world dataSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 684 pp. Englisch.
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Targeted Learning in Data Science
Book 149 of 160: Springer Series in StatisticsLanguage: English
Published by Springer, Springer Apr 2018, 2018
ISBN 10: 3319653032 ISBN 13: 9783319653037
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook for graduate students in statistics, data science, and public health dealswith the practical challenges that come with big, complex, and dynamic data. It presentsa scientific roadmap to translate real-world data science applications into formal statisticalestimation problems by using the general template of targeted maximum likelihoodestimators. These targeted machine learning algorithms estimate quantities of interestwhile still providing valid inference. Targeted learning methods within data science area critical component for solving scientific problems in the modern age. The techniquescan answer complex questions including optimal rules for assigning treatment basedon longitudinal data with time-dependent confounding, as well as other estimands independent data structures, such as networks. Included in Targeted Learning in DataScience are demonstrations with soft ware packages and real data sets that present acase that targeted learning is crucial for the next generation of statisticians and datascientists. Th is book is a sequel to the first textbook on machine learning for causalinference, Targeted Learning, published in 2011.Mark van der Laan, PhD, is Jiann-Ping Hsu/Karl E. Peace Professor of Biostatistics andStatistics at UC Berkeley. His research interests include statistical methods in genomics,survival analysis, censored data, machine learning, semiparametric models, causalinference, and targeted learning. Dr. van der Laan received the 2004 Mortimer SpiegelmanAward, the 2005 Van Dantzig Award, the 2005 COPSS Snedecor Award, the 2005COPSS Presidential Award, and has graduated over 40 PhD students in biostatisticsand statistics.Sherri Rose, PhD, is Associate Professor of Health Care Policy (Biostatistics) at HarvardMedical School. Her work is centered on developing and integratinginnovative statisticalapproaches to advance human health. Dr. Rose's methodological research focuseson nonparametric machine learning for causal inference and prediction. She co-leadsthe Health Policy Data Science Lab and currently serves as an associate editor for theJournal of the American Statistical Association and Biostatistics. 684 pp. Englisch.
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Targeted Learning in Data Science
Book 149 of 160: Springer Series in StatisticsLanguage: English
Published by Springer International Publishing, 2018
ISBN 10: 3319653032 ISBN 13: 9783319653037
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides essential data analysis tools for answering complex big data questions based on real world dataContains machine learning estimators that provide inference within data science Offers applications that .
-
Targeted Learning in Data Science
Book 149 of 160: Springer Series in StatisticsLanguage: English
Published by Springer, Springer Apr 2018, 2018
ISBN 10: 3319653032 ISBN 13: 9783319653037
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Provides essential data analysis tools for answering complex big data questions based on real world dataSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 684 pp. Englisch.
