High-Dimensional Probability: An Introduction with Applications in Data Science: 47 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 47) - Image 1

£49.98

Cambridge University Press High-Dimensional Probability: An Introduction with Applications in Data Science: 47 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 47)

Name: High-Dimensional Probability: An Introduction with Applications in Data Science: 47 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 47)
Brand: Cambridge University Press
Price: 49.98 GBP
Availability: InStock

Econometrics

This is the usual price. Wait for it to drop, or tell us your number.

£50 today · usual range £0–£0 · best ever £40

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 582 days • 582 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 582 days • 5 price ranges

Days at Price

Current Price

Price Analysis

Most common range: £45-48 (287 days, 49.3%)

Price range: £40 - £53

Price levels: 5 price ranges over 582 days

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.

Key Features

New Store Stock

Product Specifications

Brand: Cambridge University Press
Format: hardcover
ASIN: 1108415199
Category: Books > Subjects > Business, Finance & Law > Economics > Econometrics
Domain: Amazon UK
Release Date: 27 September 2018
Listed Since: 07 February 2018

Barcode

No barcode data available

Cambridge University Press High-Dimensional Probability: An Introduction with Applications in Data Science: 47 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 47)

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Random Matrices: High Dimensional Phenomena: 367 (London Mathematical Society Lecture Note Series, Series Number 367)

Concentration Inequalities: A Nonasymptotic Theory of Independence

High-Dimensional Statistics: A Non-Asymptotic Viewpoint: 48 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 48)

Concentration, Functional Inequalities and Isoperimetry (Contemporary Mathematics): International Workshop on Concentration, Functional Inequalities ... Atlantic Univsersity, Boca Raton, Florida

Theory of Stochastic Objects: Probability, Stochastic Processes and Inference (Chapman & Hall/CRC Texts in Statistical Science)

High Dimensional Probability VIII: The Oaxaca Volume: 74 (Progress in Probability, 74)

Probabilistic Inequalities: 7 (Series on Concrete & Applicable Mathematics)

Concentration of Measure for the Analysis of Randomized Algorithms

Foundations of Data Science

Matrix Analysis and Entrywise Positivity Preservers: 471 (London Mathematical Society Lecture Note Series, Series Number 471)

Concentration Inequalities for Sums and Martingales (SpringerBriefs in Mathematics)

Mathematics and Computing: ICMC, Haldia, India, January 2015: 139 (Springer Proceedings in Mathematics & Statistics, 139)

Introductory Statistics and Random Phenomena: Uncertainty, Complexity and Chaotic Behavior in Engineering and Science (Modern Birkhäuser Classics)

Prokhorov and Contemporary Probability Theory: In Honor of Yuri V. Prokhorov: 33 (Springer Proceedings in Mathematics & Statistics, 33)

Multivariate Bonferroni-Type Inequalities: Theory and Applications

Machine Learning – A Probabilistic Perspective

Introduction To Probability Theory: A First Course On The Measure-theoretic Approach: 3 (World Scientific Series On Probability Theory And Its Applications)

Modern Discrete Probability: An Essential Toolkit (Cambridge Series in Statistical and Probabilistic Mathematics)

Probability Theory, An Analytic View

Random Circulant Matrices

Linear Algebra and Probability for Computer Science Applications

Probability and Statistics for Data Science

Math In Economics (Second Edition): 2nd Edition

Concentration of Measure Inequalities in Information Theory, Communications, and Coding: Third Edition (Foundations and Trends (R) in Communications and Information Theory)