
Автор: Jianqing Fan, Runze Li
Издательство: Chapman and Hall/CRC
Год: 2020
Страниц: 775
Язык: английский
Формат: pdf (true)
Размер: 34.3 MB
Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical Machine Learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research monograph on high-dimensional statistics, sparsity and covariance learning, Machine Learning, and statistical inference. It includes ample exercises that involve both theoretical studies as well as empirical applications.