Decomposition tables for experiments. II. Two--one randomizations

Decompounding under Gaussian noise

Deconvolution density estimation with heteroscedastic errors using SIMEX

Deconvolution for an atomic distribution

Deconvolution for an atomic distribution: rates of convergence

Deconvolution in white noise with a random blurring function

Deconvolution with unknown error distribution

Default priors for Gaussian processes

Defining and Estimating Intervention Effects for Groups that will Develop an Auxiliary Outcome

Defining probability density for a distribution of random functions

Degrees of Freedom in Lasso Problems

Delta method in large deviations and moderate deviations for estimators

Dense Signals, Linear Estimators, and Out-of-Sample Prediction for High-Dimensional Linear Models

Densities for random balanced sampling

Densities of nested Archimedean copulas

Densities, spectral densities and modality

Density Approximations for Multivariate Affine Jump-Diffusion Processes

Density estimation for biased data

Density Estimation of Censored Data with Infinite-Order Kernels

Density estimation with heteroscedastic error