Now showing items 1-2 of 2

    • Bayesian Inference in Large-scale Problems 

      Johndrow, James Edward (2016)
      Many modern applications fall into the category of "large-scale" statistical problems, in which both the number of observations n and the number of features or parameters p may be large. Many existing methods focus on point ...
    • Scalable Nonparametric Bayes Learning 

      Banerjee, Anjishnu (2013)
      Capturing high dimensional complex ensembles of data is becoming commonplace in a variety of application areas. Some examples includebiological studies exploring relationships between genetic mutations and diseases, atmospheric ...