All Stories

  1. Edge selection for undirected graphs
  2. Hamiltonian Monte Carlo sampling in Bayesian empirical likelihood computation
  3. Prediction in heteroscedastic nested error regression models with random dispersions
  4. Variance estimation for tree-order restricted models
  5. Reversing the Stein Effect
  6. Biases of the maximum likelihood and Cohen–Sackrowitz estimators for the tree-order model