Giới thiệu về sách điện tử này
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...
Khám phá thêm
Giới thiệu tác giả
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...
Xếp hạng sách điện tử này
Cho chúng tôi biết suy nghĩ của bạn.
Đọc thông tin
Điện thoại thông minh và máy tính bảng
Cài đặt ứng dụng Google Play Sách cho Android và iPad/iPhone. Ứng dụng sẽ tự động đồng bộ hóa với tài khoản của bạn và cho phép bạn đọc trực tuyến hoặc ngoại tuyến dù cho bạn ở đâu.
Máy tính xách tay và máy tính
Bạn có thể nghe các sách nói đã mua trên Google Play thông qua trình duyệt web trên máy tính.
Thiết bị đọc sách điện tử và các thiết bị khác
Để đọc trên thiết bị e-ink như máy đọc sách điện tử Kobo, bạn sẽ cần tải tệp xuống và chuyển tệp đó sang thiết bị của mình. Hãy làm theo hướng dẫn chi tiết trong Trung tâm trợ giúp để chuyển tệp sang máy đọc sách điện tử được hỗ trợ.
