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  Barber, David Add to Alert Profile  
 
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   Bayesian reasoning and machine learning
Barber D.,  Cambridge University Press, New York, NY, 2012. 728 pp. Type: Book (978-0-521518-14-7)

Barber’s aim for this book is to introduce Bayesian reasoning and machine learning to students “without a firm background in statistics, calculus, or linear algebra.” To achieve this goal, the author uses graphs to illustrate the...
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Jul 16 2012  
  Bayesian time series models
Barber D., Cemgil A., Chiappa S.,  Cambridge University Press, New York, NY, 2011. 432 pp. Type: Book (978-0-521196-76-5)

Time series data appear in many areas, such as economics, audio analysis, video streaming, and biomedicine. Probabilistic models are popular tools to describe the characteristics of time series because they can capture noise effects and variations...
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Feb 6 2012  

   
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