Objective Bayesian model selection in Gaussian graphical models
Adaptive regularization using the entire solution surface
Asymptotic properties of penalized spline estimators
Empirical Bayes estimation for additive hazards regression models
Improving point and interval estimators of monotone functions by rearrangement
Induced smoothing for the semiparametric accelerated failure time model : asymptotics and extensions to clustered data
Weighted Breslow-type and maximum likelihood estimation in semiparametric transformation models
Pseudo-partial likelihood for proportional hazards models with biased-sampling data
Pseudo-partial likelihood estimators for the Cox regression model with missing covariates
Approximating the α-permanent
Markov models for accumulating mutations
Gaussian process emulation of dynamic computer codes
Optimal repeated measurement designs for a model with partial interactions
Use of functionals in linearization and composite estimation with application to two-sample survey data
Effects of data dimension on empirical likelihood
Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data
A negative binomial model for time series of counts
A Student t-mixture autoregressive model with applications to heavy-tailed financial data