この電子書籍について
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...
もっと見る
著者について
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...
この電子書籍を評価する
ご感想をお聞かせください。
読書情報
スマートフォンとタブレット
Android や iPad / iPhone 用の Google Play ブックス アプリをインストールしてください。このアプリがアカウントと自動的に同期するため、どこでもオンラインやオフラインで読むことができます。
ノートパソコンとデスクトップ パソコン
Google Play で購入したオーディブックは、パソコンのウェブブラウザで再生できます。
電子書籍リーダーなどのデバイス
Kobo 電子書籍リーダーなどの E Ink デバイスで読むには、ファイルをダウンロードしてデバイスに転送する必要があります。サポートされている電子書籍リーダーにファイルを転送する方法について詳しくは、ヘルプセンターをご覧ください。
