A Bayesian approach is presented for nonparametric estimation of an additive regression model with autocorrelated errors.

In this paper the EM algorithm, which has been used successfully with censored and incomplete data sets, is adapted to the problem of scrambled data. The performance of the method is assayed using an artificially constructed data set. The relevance of the results for a real world labour market...

The local linear trend and global linear trend models embody extreme assumptions about trends. According to the local linear trend formulation the level and growth rate are allowed to rapidly adapt to changes in the data path. On the other hand, the Glaobal linear trend model makes no allowance...

This paper considers the analysis of cointegrated time series using principal components methods. These methods have the advantage of neither requiring the normalisation imposed by the triangular eror correction model, nor the specification of a finite order vector autoregression.

The adding up condition of budget share equations is known to imply restrictions for the autoregresive structure of errors. The implications of these restrictions when estimation is in terms of additive normal errors of additive logistic normal errors is clarified, and a byproduct is a...

The INITB.TEX file consists of a macro collection designed to write books in a form standard to many handbooks. The macro file should be input before the text. Macros in this file automatically number chapters, sections, and print their titles in the proper format. It offers many useful...