Introduction to Random Fields

  • Alexander BulinskiEmail author
  • Evgeny Spodarev
Part of the Lecture Notes in Mathematics book series (LNM, volume 2068)


This chapter gives preliminaries on random fields necessary for understanding of the next two chapters on limit theorems. Basic classes of random fields (Gaussian, stable, infinitely divisible, Markov and Gibbs fields, etc.) are considered. Correlation theory of stationary random functions as well as elementary nonparametric statistics and an overview of simulation techniques are discussed in more detail.


Random Field Covariance Function Random Function Markov Random Field Random Element 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Moscow State UniversityMoscowRussia
  2. 2.Ulm UniversityUlmGermany

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