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A Statistical Primer

  • Ananda S. ChowdhuryEmail author
  • Suchendra M. Bhandarkar
Chapter
  • 703 Downloads
Part of the Advances in Computer Vision and Pattern Recognition book series (ACVPR)

Abstract

The aim of this chapter is to familiarize a general reader with some important statistical techniques that are used in subsequent chapters. The chapter contains four distinct sections. The first section deals with the basic concepts of probability and random variables. The second section is devoted to statistical inference which explains concepts such as the sampling distribution, point estimator, and confidence interval. The third section discusses Bayesian statistics, beginning with Bayes’ theorem and concluding with Bayesian inference. The last section serves as an introduction to random fields, image restoration within a Bayesian paradigm, and some associated techniques such as stochastic relaxation.

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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  • Ananda S. Chowdhury
    • 1
    Email author
  • Suchendra M. Bhandarkar
    • 2
  1. 1.Department of Electronics & Telecommunication EngineeringJadavpur UniversityKolkataIndia
  2. 2.Department of Computer ScienceThe University of GeorgiaAthensUSA

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