Computational Statistics & Data Analysis

Bayesian prediction for physical models with application to the optimization of the synthesis of pharmaceutical products using chemical kinetics

Addressing overfitting and underfitting in Gaussian model-based clustering

Classification tree methods for panel data using wavelet-transformed time series

Asymptotic null distribution of the modified likelihood ratio test for homogeneity in finite mixture models

Asymptotic distribution of likelihood ratio test statistics for variance components in nonlinear mixed effects models

Gaussian process methods for nonparametric functional regression with mixed predictors

Partially observed functional data: The case of systematically missing parts

Nonparametric operator-regularized covariance function estimation for functional data

Jeffreys priors for mixture estimation: Properties and alternatives

Regression analysis for the proportional hazards model with parameter constraints under case-cohort design