000			01207nam a22001817a 4500
999			_c2648 _d2648
005			20220716134717.0
008			220716b ||||| |||| 00| 0 eng d
020			_a9783030737917
082			_a519.5 _bLED
100			_aLederer, Johannes C. _97626
245			_aFundamentals of high-dimensional statistics: with exercises and R labs
260			_bSpringer _aSwitzerland _c2022
300			_axi, 355 p.
365			_aEURO _b109.99
520			_aAbout this book This textbook provides a step-by-step introduction to the tools and principles of high-dimensional statistics. Each chapter is complemented by numerous exercises, many of them with detailed solutions, and computer labs in R that convey valuable practical insights. The book covers the theory and practice of high-dimensional linear regression, graphical models, and inference, ensuring readers have a smooth start in the field. It also offers suggestions for further reading. Given its scope, the textbook is intended for beginning graduate and advanced undergraduate students in statistics, biostatistics, and bioinformatics, though it will be equally useful to a broader audience.
650			_aMathematical statistics _9837
942			_2ddc _cBK