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Springer Fundamentals of High-Dimensional Statistics - Springer Textbook

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Description

Master the essential tools and principles of high-dimensional statistics with this comprehensive Springer textbook designed for graduate and advanced undergraduate students. This step-by-step introduction covers high-dimensional linear regression, graphical models, and inference with both theoretical depth and practical application. Each chapter includes numerous exercises with detailed solutions and hands-on R labs that translate statistical concepts into real-world programming skills. The structured approach ensures readers develop a solid foundation in this critical field, with guidance on further reading to support continued learning beyond the core material.

Key Features

High-dimensional linear regression techniques explained with worked examples and R implementations for practical mastery.

Graphical models and inference methods covered in depth with exercises that reinforce theoretical understanding.

Computer labs in R provide hands-on experience applying high-dimensional statistics to actual datasets and problems.

Detailed solutions accompany the exercises throughout the textbook, enabling self-study and independent problem-solving.

Structured for beginning graduate and advanced undergraduate students in statistics and biostatistics programmes.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
18 November 2022
Listed Since
21 October 2022

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