Introduction to High-Dimensional Statistics
By Christophe Giraud
"Introduction to High-Dimensional Statistics" is published by Taylor & Francis Group in 2021 - Boca Raton, FL, it has 364 pages and the language of the book is English.
“Introduction to High-Dimensional Statistics” Metadata:
- Title: ➤ Introduction to High-Dimensional Statistics
- Author: Christophe Giraud
- Language: English
- Number of Pages: 364
- Publisher: Taylor & Francis Group
- Publish Date: 2021
- Publish Location: Boca Raton, FL
“Introduction to High-Dimensional Statistics” Subjects and Themes:
- Subjects: ➤ Statistics - Dimensional analysis - Multivariate analysis - Big data - COMPUTERS - Machine Theory - BUSINESS & ECONOMICS - Mathematics - Analyse dimensionnelle - Analyse multivariée - Données volumineuses - MATHEMATICS - Applied - Probability & Statistics - General - Boosting - Datenanalyse - Hochdimensionale Daten - Inferenzstatistik - Lasso-Methode - Mathematische Modellierung - Statistik
Edition Identifiers:
- The Open Library ID: OL33858196M - OL21090979W
- ISBN-13: 9781000408355
- All ISBNs: 9781000408355
AI-generated Review of “Introduction to High-Dimensional Statistics”:
"Introduction to High-Dimensional Statistics" Description:
Open Data:
Introduction to High-Dimensional Statistics, Second Edition preserves the philosophy of the first edition: to be a concise guide for students and researchers discovering the area and interested in the mathematics involved. The main concepts and ideas are presented in simple settings, avoiding thereby unessential technicalities. High-dimensional statistics is a fast-evolving field, and much progress has been made on a large variety of topics, providing new insights and methods
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