Осы электрондық кітап туралы ақпарат
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.
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 a...
Ұқсас кітаптар
Авторы туралы
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'.
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 A...
Осы электрондық кітапты бағалаңыз.
Пікіріңізбен бөлісіңіз.
Ақпаратты оқу
Смартфондар мен планшеттер
Android және iPad/iPhone үшін Google Play Books қолданбасын орнатыңыз. Ол аккаунтпен автоматты түрде синхрондалады және қайда болсаңыз да, онлайн не офлайн режимде оқуға мүмкіндік береді.
Ноутбуктар мен компьютерлер
Google Play дүкенінде сатып алған аудиокітаптарды компьютердің браузерінде тыңдауыңызға болады.
eReader және басқа құрылғылар
Kobo eReader сияқты E-ink технологиясымен жұмыс істейтін құрылғылардан оқу үшін файлды жүктеп, оны құрылғыға жіберу керек. Қолдау көрсетілетін eReader құрылғысына файл жіберу үшін Анықтама орталығының нұсқауларын орындаңыз.
