Theory and Methods

Theory and methods includes research in areas such as sequential analysis, predictive statistics, Bayes theory, and group testing.

UNL faculty involved in theory and methods:

  • Christopher Bilder: categorical data analysis, group testing, computational statistics
  • Erin Blankenship: nonlinear models
  • Sanjay Chaudhuri: empirical likelihood-based methods, Bayesian empirical likelihood, constrained models, order restricted models, graphical Markov models
  • Bertrand Clarke: prediction, Bayesian statistics, asymptotics, data mining and machine learning
  • Jennifer Clarke: computational statistics, non-linear regression, classification
  • Kent Eskridge: design of experiments, multivariate analysis
  • Xueheng Shi: time series analysis, signal processing, changepoint analysis