What to do about M-open? A decision theoretic (distribution free) solution
Sparse modeling: some unifying theory and “topic-imaging”
Approximate Bayesian computation (ABC): advances and questions
Partial Information from Spectral Methods
Bayesian Nonparametrics
Identifiability of Priors from Bounded Sample Sizes with Applications to Transfer Learning
Bayesian Inference
Generalization theory of two-part code MDL estimator
Topics in Statistics: Nonparametrics and Robustness
Network Science: An Introduction to Recent Statistical Approaches