Big Data Analysis (Hardcover)

Language: English

Published by Springer Nature Switzerland AG, Cham, 2025

3032031605 / 9783032031600

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Hardcover. This book covers the methods and theory of high dimensional probability, statistics, large-scale optimization, and inference. We aim to quickly bring readers to the frontier and interdisciplinary areas of statistics, optimization, probability, and machine learning. This book covers topics in:High dimensional probability, Concentration inequality, Sub-Gaussian random variables, Chernoff bounds, Hoeffding's inequality, Maximal inequalities, High dimensional linear regression, Ordinary least square, Compressed sensing, Lasso, Variations of Lasso including group lasso, fused lasso, adaptive lasso, etc., General high dimensional M- estimators, Variable selection consistency, High dimensional Optimization, Convex geometry, Lagrange duality, Gradient descent, Proximal gradient descent, LARS, ADMM, Mirror descent, Stochastic optimization, Large-Scale Inference, Linear model hypothesis testing, high dimensional inference, Chi-square test, maximal test, and Higher criticism, False discovery rate control. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9783032031600

Title
Big Data Analysis (Hardcover)
Author
Junwei Lu
Publisher
Springer Nature Switzerland AG, Cham
Publication year
2025
Condition
new
Binding
Hardcover
Language
English
ISBN 10
3032031605
ISBN 13
9783032031600

Grand Eagle Retail

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5-star seller

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