Название: Sufficient Dimension Reduction: Methods and Applications with R
Автор: Bing Li
Издательство: Chapman and Hall/CRC
ISBN: 1498704476
Год: 2018
Страниц: 304
Язык: английский
Формат: pdf (true)
Размер: 42.8 MB
Sufficient dimension reduction is a rapidly developing research field that has wide applications in regression diagnostics, data visualization, machine learning, genomics, image processing, pattern recognition, and medicine, because they are fields that produce large datasets with a large number of variables. Sufficient Dimension Reduction: Methods and Applications with R introduces the basic theories and the main methodologies, provides practical and easy-to-use algorithms and computer codes to implement these methodologies, and surveys the recent advances at the frontiers of this field.
Автор: Bing Li
Издательство: Chapman and Hall/CRC
ISBN: 1498704476
Год: 2018
Страниц: 304
Язык: английский
Формат: pdf (true)
Размер: 42.8 MB
Sufficient dimension reduction is a rapidly developing research field that has wide applications in regression diagnostics, data visualization, machine learning, genomics, image processing, pattern recognition, and medicine, because they are fields that produce large datasets with a large number of variables. Sufficient Dimension Reduction: Methods and Applications with R introduces the basic theories and the main methodologies, provides practical and easy-to-use algorithms and computer codes to implement these methodologies, and surveys the recent advances at the frontiers of this field.