@article{ETD,
      author = {Bayestehtashk, Alireza},
      url = {http://digitalcollections.ohsu.edu/record/41281},
      title = {Copula models for multivariate density estimation,  classification and robust speech recognition},
      publisher = {Oregon Health and Science University},
      abstract = {We evaluate the performance of both of the proposed  methods on several density estimation tasks from the UCI  Repository as well as our corpus of Monkey vocalizations,  recorded at the Oregon National Primate Research Center. We  find that our methods represent the data consistently  better than Gaussian mixture models with equivalent number  of parameters. We also evaluate our proposed methods for  building generative classifiers for a number of  classification tasks from the UCI Repository. We find  that these generative models perform as well or better than  discriminative classifiers such as a Support Vector  Machine (SVM).},
      number = {ETD},
      recid = {41281},
      address = {2018-12-13},
}