Bayesian Inference

  • Michail Tsikerdekis
Part of the Human–Computer Interaction Series book series (HCIS)


Bayesian inference has a long standing history in the world of statistics and this chapter aims to serve as an introduction to anyone who has not been formally introduced to the topic before. First, Bayesian inference is introduced using a simple and analytical example. Then, computational methods are introduced. Examples are provided with common HCI problems such as comparing two group rates based on a binary variable, numeric variable, as well as building a regression model.


Bayesian Inference Cell Phone Beta Distribution Prior Belief Bayesian Statistic 
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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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.School of Information ScienceUniversity of KentuckyLexingtonUSA

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