Article1996

Random Fields on a Network: Modeling, Statistics, and Applications

305 citations0/0 files storedTechnometrics

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Spatial and Panel Data Analysis Stochastic processes and statistical mechanics Point processes and geometric inequalities

Abstract

The theory of spatial models over lattices, or random fields as they are known, has developed significantly over recent years. This book provides a graduate-level introduction to the subject which assumes only a basic knowledge of probability and statistics, finite Markov chains, and the spectral theory of second-order processes. A particular strength of this book is its emphasis on examples - both to motivate the theory which is being developed, and to demonstrate the applications which range from statistical mechanics to image analysis and from statistics to stochastic algorithms.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 305 citations exist upstream.

Cited by

1998A Composite Likelihood Approach to Binary Spatial Data 2009Central limit theorems and uniform laws of large numbers for arrays of random fields 2012On spatial processes and asymptotic inference under near-epoch dependence 2000A Shapley Value Representation of Potential Games 2006Estimation in semiparametric spatial regression 2004A Spatial Filtering Specification for the Autologistic Model 2005Modeling spatial-temporal binary data using Markov random fields 1998On Extreme Values in Stationary Random Fields

Imported from OpenAlex (CC0) — nothing here is generated.