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Targeted Learning in Data Science

Jezik EngleskiEngleski
Knjiga Tvrdi uvez
Knjiga Targeted Learning in Data Science Mark J. Van Der Laan
Libristo kod: 16730460
Nakladnici Springer International Publishing AG, travanj 2018
This textbook for Masters and PhD graduate students in biostatistics, statistics, data science, and... Cijeli opis
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This textbook for Masters and PhD graduate students in biostatistics, statistics, data science, and epidemiology deals with the practical challenges that come with big, complex, and dynamic data while maintaining a strong theoretical foundation. It presents a scientific roadmap to translate real-world data science applications into formal statistical estimation problems by using the general template of targeted maximum likelihood estimators to construct targeted machine learning algorithms that incorporate state of the art applications to estimate quantities of interest, while still providing valid inference. Targeted learning methods within data science are a critical component for answering complex statistical questions in the modern age. The techniques can answer complex questions including optimal rules for assigning treatment based on longitudinal data involving time-dependent confounding and censoring as well as other estimands in dependent data structures, such as networks. Standard methods and software tools are not currently equipped for these challenges; however, targeted learning is tailored for these problems found in precision medicine, big data, and data science. Included in Targeted Learning in Data Science are demonstrations with software packages and real data sets that present a case that targeted learning is crucial for the next generation of statisticians and data scientists.

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Informacije o knjizi

Puni naziv Targeted Learning in Data Science
Jezik Engleski
Uvez Knjiga - Tvrdi uvez
Datum izdanja 2018
Broj stranica 640
EAN 9783319653037
ISBN 3319653032
Libristo kod 16730460
Težina 1104
Dimenzije 158 x 234 x 37
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