On nonparametric maximum likelihood for a class of stochastic inverse problems
On Normal Variance-Mean Mixtures
On optimal quantization rules for some problems in sequential decentralized detection
On optimal spatial subsample size for variance estimation
On optimality of Bayesian testimation in the normal means problem
On Optimality of Stepdown and Stepup Multiple Test Procedures
On Optimality of the Shiryaev-Roberts Procedure for Detecting a Change in Distribution
On Optimality Properties of the Shiryaev-Roberts Procedure
On Parameter Estimation of Threshold Autoregressive Models
On peeling procedure applied to a Poisson point process
On pointwise adaptive curve estimation with a degenerate random design
On polyhedral approximations of polytopes for learning Bayes nets
On posterior distribution of Bayesian wavelet thresholding
On prediction errors in regression models with nonstationary regressors
On prediction with the LASSO when the design is not incoherent
On predictive probability matching priors
On principles of inductive inference
On Probabilistic Parametric Inference
On Probability Leakage
On Properties of Estimators in non Regular Situations for Poisson Processes