ISBN: 9781009160438 - modern statistical methods and theory: an introduction to nonparametric and high-dimensional statistics: 60 (cambridge series in statistical and probabilistic mathematics, series number 60) (12 resultados)

Hardcover. Condición: Very Good. New. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Condición: New.

Hardback. Condición: New.

Hardback. Condición: New.

Condición: New. 2026. New. hardcover. . . . . .

Condición: New. 2026. New. hardcover. . . . . . Books ship from the US and Ireland.

Hardcover. Condición: Brand New. 450 pages. 7.00x1.00x10.00 inches. In Stock.

Hardback. Condición: New.

Hardback. Condición: New.

Hardcover. Condición: new. Hardcover. 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. Accessible, self-contained, and yet rigorous, this book presents core contemporary statistical methods and theory, with complete exercise solutions. Ideal for master's and graduate-level students, as well as researchers, in statistics and machine learning and related disciplines. This title is also available as Open Access on Cambridge Core. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condición: new. Hardcover. 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. Accessible, self-contained, and yet rigorous, this book presents core contemporary statistical methods and theory, with complete exercise solutions. Ideal for master's and graduate-level students, as well as researchers, in statistics and machine learning and related disciplines. This title is also available as Open Access on Cambridge Core. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Condición: new. Hardcover. 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. Accessible, self-contained, and yet rigorous, this book presents core contemporary statistical methods and theory, with complete exercise solutions. Ideal for master's and graduate-level students, as well as researchers, in statistics and machine learning and related disciplines. This title is also available as Open Access on Cambridge Core. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…