๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Spectral Models of Random Fields in Monte Carlo Methods

โœ Scribed by S. M. Prigarin


Publisher
De Gruyter
Year
2001
Tongue
English
Leaves
212
Edition
Reprint 2018
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Table of Contents


Preface
Contents
Chapter 1. Approximate Modelling of Homogeneous Gaussian Fields on the Basis of Spectral Decomposition
Chapter 2. Spectral Models for Vector-Valued Fields
Chapter 3. Convergence of Spectral Models of Random Fields in Monte Carlo Methods
Chapter 4. On Optimization and Convergence of Functional Monte Carlo Estimators
Appendix A. Gaussian Distributions: Properties and Simulation
Appendix ฮ’. Solution of Boundary Value Problems for Linear Systems of Stochastic Differential Equations
Appendix C. On Interpolation of Positive Definite Functions and Stationary Random Sequences
Appendix D. Coding of Multiplicative Pseudorandom Number Generators
Bibliography
Notation
Index


๐Ÿ“œ SIMILAR VOLUMES


Image Analysis, Random Fields and Markov
โœ Gerhard Winkler ๐Ÿ“‚ Library ๐Ÿ“… 2012 ๐Ÿ› Springer ๐ŸŒ English

<span>This second edition of G. Winkler's successful book on random field approaches to image analysis, related Markov Chain Monte Carlo methods, and statistical inference with emphasis on Bayesian image analysis concentrates more on general principles and models and less on details of concrete appl

Image Analysis, Random Fields and Markov
โœ Gerhard Winkler (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2003 ๐Ÿ› Springer-Verlag Berlin Heidelberg ๐ŸŒ English

<p>This second edition of G. Winkler's successful book on random field approaches to image analysis, related Markov Chain Monte Carlo methods, and statistical inference with emphasis on Bayesian image analysis concentrates more on general principles and models and less on details of concrete applica