We propose a new method for approximate Bayesian statistical inference on the basis of
summary statistics. The method is suited to complex problems that arise in population …

Searching for an effective dimension reduction space is an important problem in regression,
especially for high dimensional data. We propose an adaptive approach based on …

Varying coefficient models are useful extensions of the classical linear models. Under the
condition that the coefficient functions possess about the same degrees of smoothness, the …

One of the advantages for the varying-coefficient model is to allow the coefficients to vary as
smooth functions of other variables and the model can be estimated easily through a simple …

This paper describes a two‐step procedure for estimating the covariance function and its
eigenvalues and eigenfunctions in situations where the data are curves or functions. The …

This paper investigates the impact of human capital to the process of economic growth by
allowing the contribution of traditional inputs (capital and labor) as well as that of human …