Poisson calculus for spatial neutral to the right processes

Poisson inverse problems

Poisson loglinear modeling with linear constraints on the expected cell frequencies

Polynomial Cointegration among Stationary Processes with Long Memory

Polynomial Regression on Riemannian Manifolds

Portfolio optimization when expected stock returns are determined by exposure to risk

Posterior consistency of Dirichlet mixtures of beta densities in estimating positive false discovery rates

Posterior consistency of Gaussian process prior for nonparametric binary regression

Posterior consistency of nonparametric conditional moment restricted models

Posterior Consistency of the Bayesian Approach to Linear Ill-Posed Inverse Problems

Posterior Convergence and Model Estimation in Bayesian Change-point Problems

Posterior convergence for approximated unknowns in non-Gaussian statistical inverse problems

Posterior convergence rates in non-linear latent variable models

Posterior convergence rates of Dirichlet mixtures at smooth densities

Posterior Inference in Curved Exponential Families under Increasing Dimensions

Posterior propriety and admissibility of hyperpriors in normal hierarchical models

Power Loss for Inhomogeneous Poisson Processes

Power-enhanced multiple decision functions controlling family-wise error and false discovery rates

Practical Robust Estimators for the Imprecise Dirichlet Model

Practical simulation and estimation for Gibbs Delaunay-Voronoi tessellations with geometric hardcore interaction