High Dimensional Statistics Book [PDF] Download

• Publisher : Cambridge University Press
• File Size : 39,5 Mb
• Release Date : 21 February 2019

A coherent introductory text from a groundbreaking researcher, focusing on clarity and motivation to build intuition and understanding.

• Publisher : Springer Science & Business Media
• File Size : 29,7 Mb
• Release Date : 08 June 2011

Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including

• Publisher : CRC Press
• File Size : 30,6 Mb
• Release Date : 25 August 2021

Praise for the first edition: "[This book] succeeds singularly at providing a structured introduction to this active field of research. ... it is arguably the most accessible overview yet published of

• Publisher : Springer Nature
• File Size : 36,6 Mb
• Release Date : 16 November 2021

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

• Publisher : Cambridge University Press
• File Size : 54,6 Mb
• Release Date : 27 September 2018

An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.

• Publisher : Cambridge University Press
• File Size : 34,8 Mb
• Release Date : 13 January 2022

Connects fundamental mathematical theory with real-world problems, through efficient and scalable optimization algorithms.

• Publisher : Cambridge University Press
• File Size : 31,8 Mb
• Release Date : 17 June 2024

This modern approach integrates classical and contemporary methods, fusing theory and practice and bridging the gap to statistical learning.

• Publisher : Springer Science & Business Media
• File Size : 50,5 Mb
• Release Date : 28 April 2012

"Geometric Structure of High-Dimensional Data and Dimensionality Reduction" adopts data geometry as a framework to address various methods of dimensionality reduction. In addition to the introduction to well-known linear methods,

• Publisher : Springer
• File Size : 41,6 Mb
• Release Date : 16 February 2016

This book features research contributions from The Abel Symposium on Statistical Analysis for High Dimensional Data, held in Nyvågar, Lofoten, Norway, in May 2014. The focus of the symposium was

• Publisher : Springer
• File Size : 28,7 Mb
• Release Date : 24 November 2015

This book constitutes the proceedings of the International Workshop on Clustering High-Dimensional Data, CHDD 2012, held in Naples, Italy, in May 2012. The 9 papers presented in this volume were carefully reviewed and