Stochastic Models with Power-Law Tails: The Equation X = AX + B (Springer Series in Operations Research and Financial Engineering) - Image 1

£98.91

Springer Stochastic Models with Power-Law Tails: The Equation X = AX + B (Springer Series in Operations Research and Financial Engineering)

Name: Stochastic Models with Power-Law Tails: The Equation X = AX + B (Springer Series in Operations Research and Financial Engineering)
Brand: Springer
Price: 98.91 GBP
Availability: InStock

Applied Mathematics

It has never been this cheap. We have no record of a lower price.

£99 today · cheaper than every other day in the last 3 months

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 67 days • 67 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 67 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £100 (52 days, 77.6%)

Price range: £99 - £100

Price levels: 2 different prices over 67 days

Description

In this monograph the authors give a systematic approach to the probabilistic properties of the fixed point equation X=AX+B. A probabilistic study of the stochastic recurrence equation X_t=A_tX_{t-1}+B_t for real- and matrix-valued random variables A_t, where (A_t,B_t) constitute an iid sequence, is provided. The classical theory for these equations, including the existence and uniqueness of a stationary solution, the tail behavior with special emphasis on power law behavior, moments and support, is presented. The authors collect recent asymptotic results on extremes, point processes, partial sums (central limit theory with special emphasis on infinite variance stable limit theory), large deviations, in the univariate and multivariate cases, and they further touch on the related topics of smoothing transforms, regularly varying sequences and random iterative systems. The text gives an introduction to the Kesten-Goldie theory for stochastic recurrence equations of the type X_t=A_tX_{t-1}+B_t. It provides the classical results of Kesten, Goldie, Guivarc'h, and others, and gives an overview of recent results on the topic. It presents the state-of-the-art results in the field of affine stochastic recurrence equations and shows relations with non-affine recursions and multivariate regular variation.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3319806246
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Applied Mathematics
Domain: Amazon UK
Release Date: 30 May 2018
Listed Since: 30 May 2018

Barcode

No barcode data available

Springer Stochastic Models with Power-Law Tails: The Equation X = AX + B (Springer Series in Operations Research and Financial Engineering)

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Asymptotic Behaviour of Linearly Transformed Sums of Random Variables: 416 (Mathematics and Its Applications, 416)

Semimartingales and their Statistical Inference: 83 (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Statistics of Random Processes II: Applications: 6 (Stochastic Modelling and Applied Probability, 6)

Semimartingales and their Statistical Inference (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Statistics of Random Processes II: Applications: 6 (Stochastic Modelling and Applied Probability, 6)

Martingale Methods in Statistics: 1 (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Semimartingale Theory and Stochastic Calculus

Limit Theorems for Stochastic Processes: 288 (Grundlehren der mathematischen Wissenschaften, 288)

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

Springer Stochastic Models, Statistics and Their Applications

Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation: 68 (Stochastic Modelling and Applied Probability, 68)

Stochastic Processes and Long Range Dependence (Springer Series in Operations Research and Financial Engineering)

Asymptotic Analyses for Complex Evolutionary Systems with Markov and Semi-Markov Switching Using Approximation Schemes

Simulation of Stochastic Processes with Given Accuracy and Reliability

Large Deviations for Discrete-Time Processes with Averaging

A Course in Stochastic Processes: Stochastic Models and Statistical Inference: 34 (Theory and Decision Library B, 34)

Elements Of Stochastic Modelling (third Edition): 3rd Edition

Multidimensional Stochastic Processes as Rough Paths: Theory and Applications: 120 (Cambridge Studies in Advanced Mathematics, Series Number 120)

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

Springer Limit Theorems for Stochastic Processes - Vol 288

Asymptotic Properties of Permanental Sequences: Related to Birth and Death Processes and Autoregressive Gaussian Sequences (SpringerBriefs in Probability and Mathematical Statistics)

Optimal Stopping and Free-Boundary Problems (Lectures in Mathematics. ETH Zürich)

Diffusions, Markov Processes and Martingales: Volume 2, Ito Calculus: 02 (Cambridge Mathematical Library)

Compound Renewal Processes: 184 (Encyclopedia of Mathematics and its Applications, Series Number 184)