Учкай маалымат
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...
Дагы башкалар
Автор жөнүндө
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...
Бул электрондук китепти баалаңыз
Оюңуз менен бөлүшүп коюңуз.
Окуу маалыматы
Смартфондор жана планшеттер
Android жана iPad/iPhone үчүн Google Play Китептер колдонмосун орнотуңуз. Ал автоматтык түрдө аккаунтуңуз менен шайкештелип, кайда болбоңуз, онлайнда же оффлайнда окуу мүмкүнчүлүгүн берет.
Ноутбуктар жана компьютерлер
Google Play'ден сатылып алынган аудиокитептерди компьютериңиздин веб браузеринен уга аласыз.
eReaders жана башка түзмөктөр
Kobo eReaders сыяктуу электрондук сыя түзмөктөрүнөн окуу үчүн, файлды жүктөп алып, аны түзмөгүңүзгө өткөрүшүңүз керек. Файлдарды колдоого алынган eReaders'ке өткөрүү үчүн Жардам борборунун нускамаларын аткарыңыз.
