Automatic vehicle following is an important feature of a fully or partially automated highway system (AHS). The on-board vehicle control system should be able to accept and process inputs from the driver, the infrastructure and other vehicles, perform diag- nostics and provide the appropriate...

This paper provides a discussion of the effects of different multi-level learning approaches on the resulting out of sample forecast errors in the case of difficult real-world forecasting problems with large noise terms in the training data, frequently occurring structural breaks and quickly...

We introduce an approach for incorporating dependence between outcomes from a Poisson regression model, with the possibility of incorporating covariate information. In common with other approaches, we use a latent process to induce correlation between outcomes. Previous approaches have modelled...

June 2005 was to bring online gambling out of the shadows and into the spotlight. PartyGaming, a start-up formed in 1997, launched a flotation (Initial Public Offering) on the London Stock Exchange that valued the firm at 4.64 pound billion giving it a larger market capitalisation than British...

As knowledge discovery (KD) matures and enters the mainstream, there is an onus on the technology developers to provide the technology in a deployable, embeddable form. This transition from a stand-alone technology, in the control of the knowledgeable few, to a widely accessible and usable...

The calculation of interval forecasts for highly persistent autoregressive (AR) time series based on the bootstrap is considered. Three methods are considered for countering the small-sample bias of least-squares estimation for processes which have roots close to the unit circle: a bootstrap...

A robust minimax approach for optimal investment decisions with imprecise return forecasts and risk estimations in financial portfolio management is considered. Single-period and multi-period mean-variance optimization models are extended to worst-case design with multiple rival risk estimations...

In this article, the author examines an enterprise resource planning (ERP) adoption process in a particular case setting to explore the knowledge management challenges encountered, specifically challenges related to the sharing and integration of knowledge, and the ways that social capital is...

Enterprise systems are used to facilitate the seamless integration and exchange of data between the various departments within an organization. In order to achieve this, rigidly defined control mechanisms must be in place in the system, which safeguard the company's data and protect the company...

The journal Computational Statistics and Data Analysis aims to have regular issues on computational econometrics. Of particular interest are papers in important areas of econometric applications where both computational techniques and numerical methods have a major impact. The goal is to provide...