Now showing items 1-3 of 3

    • Bayesian spatial and temporal methods for public health data 

      Smith, Theresa R.
      In this thesis, we develop flexible models to analyze public health data in time and/or in space. The development of our methodology is motivated by two examples: cancer incidence data in Washington State and birth outcome ...
    • Bayesian spatial and temporal methods for public health data 

      Smith, Theresa R.
      In this thesis, we develop flexible models to analyze public health data in time and/or in space. The development of our methodology is motivated by two examples: cancer incidence data in Washington State and birth outcome ...
    • Mixture models to fit heavy-tailed, heterogeneous or sparse data 

      Miao, Zhen
      With the advent of modern technologies, many scientific fields collect and analyze increasingly large datasets. Unfortunately, the complexity and heterogeneity of these datasets cannot be properly captured through classical ...