Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …

The key component in forecasting demand and consumption of resources in a supply
network is an accurate prediction of real-valued time series. Indeed, both service …

Graphical models are frequently used to explore networks, such as genetic networks, among
a set of variables. This is usually carried out via exploring the sparsity of the precision matrix …

We propose a nonparametric method for identifying parsimony and for producing a
statistically efficient estimator of a large covariance matrix. We reparameterise a covariance …

We present TopicNets, a Web-based system for visual and interactive analysis of large sets
of documents using statistical topic models. A range of visualization types and control …

The effective management of call centers is a challenging task, mainly because managers
consistently face considerable uncertainty. One important source of this uncertainty is the …

This paper proposes simple methods for staffing a single‐class call center with uncertain
arrival rate and uncertain staffing due to employee absenteeism. The arrival rate and the …

Accurate forecasting of call arrivals is critical for staffing and scheduling of a telephone call
center. We develop methods for interday and dynamic intraday forecasting of incoming call …

We approach the problem of forecasting the load of incoming calls in a cell of a mobile
network using Echo State Networks. With respect to previous approaches to the problem, we …

Workload forecasting for a call center: Methodology and a case study Page 1 The Annals of
Applied Statistics 2009, Vol. 3, No. 4, 1403–1447 DOI: 10.1214/09-AOAS255 © Institute of …