Maximum likelihood estimation for semiparametric regression models with multivariate interval-censored data
Maximum empirical likelihood estimation for abundance in a closed population from capture-recapture data
Optimal Bayes classifiers for functional data and density ratios
Multiple robustness in factorized likelihood models
Joint sufficient dimension reduction and estimation of conditional and average treatment effects
Identification and estimation of causal effects with outcomes truncated by death
Uncertainty quantification under group sparsity
Robust reduced-rank regression
Expandable factor analysis
Simple, scalable and accurate posterior interval estimation
On the Pitman-Yor process with spike and slab base measure
Non-strange weird resampling for complex survival data
Interleaved lattice-based minimax distance designs
Pseudo-marginal Metropolis-Hastings sampling using averages of unbiased estimators
Conditional moment models with data missing at random
Weighted envelope estimation to handle variability in model selection
‘Improving the accuracy of likelihood-based inference in meta-analysis and meta-regression'