Empirical Bayes deconvolution estimates
High-dimensional classification via nonparametric empirical Bayes and maximum likelihood inference
Nonparametric Bayes inference on conditional independence
Going off grid: computationally efficient inference for log-Gaussian Cox processes
Spatial regression models over two-dimensional manifolds
Stochastic mechanistic interaction
Fréchet integration and adaptive metric selection for interpretable covariances of multivariate functional data
A unified framework for spline estimators
Goodness-of-fit test in parametric mixed effects models based on estimation of the error distribution
Partially functional linear regression in high dimensions
Semiparametric approach to regression with a covariate subject to a detection limit
Semiparametric inverse propensity weighting for nonignorable missing data
An estimating equation approach to dimension reduction for longitudinal data
On distributions of ratios
Some matched comparisons of two distributions of survival time
Towards a unification of second-order theory for likelihood and marginal composite likelihood
Higher dimensional Clayton-Oakes models for multivariate failure time data
Improving Holm's procedure using pairwise dependencies
A note on multiple imputation for method of moments estimation