---
product_id: 104225761
title: "High-Dimensional Probability (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 47)"
price: "₩230868"
currency: KRW
in_stock: true
url: https://www.desertcart.kr/products/104225761-high-dimensional-probability-cambridge-series-in-statistical-and-probabilistic-mathematics
store_origin: KR
region: South Korea
---

# High-Dimensional Probability (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 47)

**Price:** ₩230868
**Availability:** ✅ In Stock

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- **What is this?** High-Dimensional Probability (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 47)
- **How much does it cost?** ₩230868 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.kr](https://www.desertcart.kr/products/104225761-high-dimensional-probability-cambridge-series-in-statistical-and-probabilistic-mathematics)

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## Description

High-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to quantify uncertainty in high dimensions. Drawing on ideas from probability, analysis, and geometry, it lends itself to applications in mathematics, statistics, theoretical computer science, signal processing, optimization, and more. It is the first to integrate theory, key tools, and modern applications of high-dimensional probability. Concentration inequalities form the core, and it covers both classical results such as Hoeffding's and Chernoff's inequalities and modern developments such as the matrix Bernstein's inequality. It then introduces the powerful methods based on stochastic processes, including such tools as Slepian's, Sudakov's, and Dudley's inequalities, as well as generic chaining and bounds based on VC dimension. A broad range of illustrations is embedded throughout, including classical and modern results for covariance estimation, clustering, networks, semidefinite programming, coding, dimension reduction, matrix completion, machine learning, compressed sensing, and sparse regression.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #1,147,201 in Books ( See Top 100 in Books ) #230 in Probability & Statistics (Books) #1,374 in Statistics (Books) |
| Customer Reviews | 4.8 out of 5 stars 79 Reviews |

## Images

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## Frequently Bought Together

- High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 47)
- High-Dimensional Statistics: A Non-Asymptotic Viewpoint (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 48)
- Asymptotic Statistics (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 3)

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*Product available on Desertcart South Korea*
*Store origin: KR*
*Last updated: 2026-08-04*