Modern Statistical Methods and Theory: An Introduction to Nonparametric and High-Dimensional Statistics (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 60) - Hardcover
Inhaltsangabe
A self-contained, accessible text on modern techniques from nonparametric and high-dimensional statistics, with complete exercise solutions.
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Über die Autorinnen und Autoren
Richard J. Samworth is Professor of Statistical Science at the University of Cambridge. Among other honours, he received the COPSS Presidents' Award (2018), was elected a Fellow of the Royal Society (2021) and was awarded the David Cox Medal for Statistics (2025). He served as co-editor of 'The Annals of Statistics' (2019–2021) and is President-Elect of the Institute of Mathematical Statistics.
Rajen D. Shah is Professor of Statistics at the University of Cambridge. He was awarded the Royal Statistical Society Research Prize (2017) and its Guy Medal in Bronze (2022), and he was elected a Fellow of the Institute of Mathematical Statistics (2025). He serves as Associate Editor for the 'Journal of the Royal Statistical Society: Series B', 'The Annals of Statistics' and 'Biometrika'.
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Modern Statistical Methods and Theory: An Introduction to Nonparametric and High-Dimensional Statistics (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 60)
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Modern Statistical Methods and Theory (Hardcover)
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Hardcover. Zustand: new. Hardcover. Based on courses taught at the University of Cambridge, this text presents core contemporary statistical methods and theory in an accessible, self-contained and rigorous fashion, with a focus on finite-sample guarantees as opposed to asymptotic arguments. Many of the topics and results have not appeared in book form previously, and some constitute new research. The prerequisites are relatively light (primarily a good grasp of linear algebra and real analysis) and complete solutions to all 250+ exercises are available online. It is the perfect entry point to the subject for master's and graduate-level students in statistics, data science and machine learning, as well as related disciplines such as artificial intelligence, signal processing, information theory, electrical engineering and econometrics. Researchers in these fields will also find it an invaluable resource. This title is also available as Open Access on Cambridge Core. Accessible, self-contained, and yet rigorous, this book presents core contemporary statistical methods and theory, with complete exercise solutions. Ideal for master's and graduate-level students, as well as researchers, in statistics and machine learning and related disciplines. This title is also available as Open Access on Cambridge Core. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9781009160438
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Modern Statistical Methods And Theory: An Introduction To Nonparametric And High-Dimensional Statistics
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