Bayesian alignment using hierarchical models, with applications in protein bioinformatics
M-quantile models for small area estimation
Applying the Horvitz-Thompson criterion in complex designs: A computer-intensive perspective for estimating inclusion probabilities
A construction method for orthogonal Latin hypercube designs
Optimal blocking of two-level factorial designs
Linear life expectancy regression with censored data
A k-sample test with interval censored data
On the accelerated failure time model for current status and interval censored data
Estimating the quality-of-life-adjusted gap time distribution of successive events subject to censoring
Confidence bands for hazard rates under random censorship
Nonparametric estimation with left-truncated semicompeting risks data
Fitting binary regression models with case-augmented samples
A test statistic for graphical modelling of multivariate time series
Using the periodogram to estimate period in nonparametric regression
Effects of the reference set on frequentist inferences
Estimating a bivariate density when there are extra data on one or both components
An efficient Markov chain Monte Carlo method for distributions with intractable normalising constants
Rank-based regression for analysis of repeated measures
Parametric modelling of thresholds across scales in wavelet regression
Local likelihood density estimation based on smooth truncation
Models for recurring events with marginal proportional hazards
Understanding nonparametric estimation for clustered data