Stochastic Processes: Harmonizable Theory: 12 (Series On Multivariate Analysis) - Image 1

£64.39

World Scientific Publishing Company Stochastic Processes: Harmonizable Theory: 12 (Series On Multivariate Analysis)

Name: Stochastic Processes: Harmonizable Theory: 12 (Series On Multivariate Analysis)
Brand: World Scientific Publishing Company
Price: 64.39 GBP
Availability: InStock

Applied Mathematics

Price data checked 2 days ago

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

About as cheap as it gets. The only time it was cheaper was 3 months ago.

£64 today · all-time low £64 (Apr 2026) · usually £65

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 89 days · 89 data points

Historical

Generating forecast…

Price Distribution

Price distribution over 89 days • 3 price levels

Days at Price

Current Price

Price Analysis

Most common price: £64 (55 days, 61.8%)

Price range: £64 - £66

Price levels: 3 different prices over 89 days

Description

From the Back Cover The book presents, for the first time, a detailed analysis of harmonizable processes and fields (in the weak sense) that contain the corresponding stationary theory as a subclass. It also gives the structural and some key applications in detail. These include Levy's Brownian motion, a probabilistic proof of the longstanding Riemann's hypothesis, random fields indexed by LCA and hypergroups, extensions to bistochastic operators, Cramr"€"Karhunen classes, as well as bistochastic operators with some statistical applications. The material is accessible to graduate students in probability and statistics as well as to engineers in theoretical applications. There are numerous extensions and applications pointed out in the book that will inspire readers to delve deeper. Product Description The book presents, for the first time, a detailed analysis of harmonizable processes and fields (in the weak sense) that contain the corresponding stationary theory as a subclass. It also gives the structural and some key applications in detail. These include Levy's Brownian motion, a probabilistic proof of the longstanding Riemann's hypothesis, random fields indexed by LCA and hypergroups, extensions to bistochastic operators, Cramér–Karhunen classes, as well as bistochastic operators with some statistical applications. The material is accessible to graduate students in probability and statistics as well as to engineers in theoretical applications. There are numerous extensions and applications pointed out in the book that will inspire readers to delve deeper.

Product Specifications

Brand: World Scientific Publishing Company
Format: hardcover
ASIN: 9811213658
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Applied Mathematics
Domain: Amazon UK
Release Date: 06 July 2020
Listed Since: 08 October 2019

Barcode

No barcode data available

World Scientific Publishing Company Stochastic Processes: Harmonizable Theory: 12 (Series On Multivariate Analysis)

About as cheap as it gets. The only time it was cheaper was 3 months ago.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Stochastic Analysis and Diffusion Processes (Oxford Graduate Texts in Mathematics): 24

Birkhauser Stochastic Analysis and Related Topics - Vol 72

Stochastic Analysis and Related Topics: A Festschrift in Honor of Rodrigo Bañuelos: 72 (Progress in Probability, 72)

A Course on Rough Paths: With an Introduction to Regularity Structures (Universitext)

Handbook of Brownian Motion - Facts and Formulae (Probability and Its Applications (duplicate))

Handbook of Brownian Motion - Facts and Formulae (Probability and Its Applications (duplicate))

Stochastic Calculus for Fractional Brownian Motion and Applications (Probability and Its Applications)

Probability: Theory and Examples: 49 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 49)

Introduction to the Theory of Random Processes (Graduate Studies in Mathematics)

Long-Range Dependence and Self-Similarity: 45 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 45)

Stochastic Processes: An Introduction, Third Edition (Chapman & Hall/CRC Texts in Statistical Science)

Measure Theory, Probability, and Stochastic Processes: 295 (Graduate Texts in Mathematics, 295)

Measure Theory, Probability, and Stochastic Processes: 295 (Graduate Texts in Mathematics, 295)

Analysis of Variations for Self-similar Processes: A Stochastic Calculus Approach (Probability and Its Applications)

Essentials of Brownian Motion and Diffusion (Mathematical Surveys and Monographs)

Introduction to Stochastic Integration (Modern Birkhäuser Classics)

Continuous Parameter Markov Processes and Stochastic Differential Equations: 299 (Graduate Texts in Mathematics)

Stochastic Analysis and Related Topics: In Honour of Ali Süleyman Üstünel, Paris, June 2010: 22 (Springer Proceedings in Mathematics & Statistics, 22)

Stochastic Flows and Stochastic Differential Equations: 24 (Cambridge Studies in Advanced Mathematics, Series Number 24)

Foundations of Quantitative Finance Book IV: Distribution Functions and Expectations (Chapman and Hall/CRC Financial Mathematics Series)

Stochastic Calculus: A Practical Introduction: 6 (Probability and Stochastics Series)

Stochastic Processes: An Introduction, Third Edition (Chapman & Hall/CRC Texts in Statistical Science)

Chapman and Hall/CRC Foundations of Quantitative Finance, Book VI

Simulation of Stochastic Processes with Given Accuracy and Reliability