Statistical Foundations of Data Science

Discover the essential insights into high-dimensional data analysis with Statistical Foundations of Data Science by renowned author Jianqing Fan. Published by Taylor & Francis Inc in 2020, this hardback edition spans an impressive 774 pages, providing a thorough and systematic exploration of critical topics such as variable selection through regularization methods and sure independent feature screening techniques. This book serves as an invaluable resource for researchers and professionals engaged in model selection, variable selection, machine learning, and risk management. Whether you're a seasoned expert or just starting in the field, Statistical Foundations of Data Science will enhance your understanding and application of statistical methodologies in data science. Elevate your research and practice with this comprehensive guide.