Journal of Computational & Graphical Statistics articles from December 2003

Journal of Computational & Graphical Statistics archives from December 2003

Editorial.
December 1, 2003... This special issue of JCGS marks the completion of my three-year term as Editor. I would like to acknowledge the diligent work of members of the editorial board and also express my appreciation to the many referees (whose names are listed in...

Semi-streaming quantization for remote sensing data.
December 1, 2003... We describe a strategy for reducing the size and complexity of very large, remote sensing datasets acquired from NASA's Earth Observing System. We apply the quantization paradigm from, and algorithms developed in, signal processing to the...

Winds from a Bayesian hierarchical model: computation for atmosphere-ocean research.
December 1, 2003... Advances in computing power are allowing researchers to use Bayesian hierarchical models (BHM) on problems previously considered computationally infeasible. This article discusses the procedure of migrating a BHM from a workstation-class...

Statistical challenges with massive datasets in particle physics.
December 1, 2003... The massive datasets from today's particle physics experiments present a variety of challenges amenable to the tools developed by the statistics community. From the real-time decision of what subset of data to record on permanent storage, to...

Classification modulo invariance, with application to face recognition.
December 1, 2003... This article presents techniques for constructing classifiers that combine statistical information from training data with tangent approximations to known transformations; it demonstrates the techniques by applying them to a face recognition...

The generalization paradox of ensembles.
December 1, 2003... Ensemble models--built by methods such as bagging, boosting, and Bayesian model averaging--appear dauntingly complex, yet tend to strongly outperform their component models on new data. Doesn't this violate "Occam's razor"--the widespread...

The S-Net system for internet packet streams: strategies for stream analysis and system architecture.
December 1, 2003... The traffic on an Internet link is a packet stream: packets of varying sizes arriving for transmission on the link. Each packet has an arrival time, and contained within the packet are headers that carry many critical variables. Packet traces,...

On some techniques for streaming data: a case study of Internet packet headers.
December 1, 2003... We consider the implications of streaming data for data analysis and data mining. Streaming data are becoming widely available from a variety of sources. In our case we consider the implications arising from Internet traffic data, By...

Toward the routine analysis of diverse data types.
December 1, 2003... This article describes a variety of data analysis problems. The types of data across these problems included free text, parallel text, an image collection, remote sensing imagery, and network packets. A strategy for approaching the analysis of...

A stream processor for extracting usage intelligence from high-momentum Internet data.
December 1, 2003... The data streams of the Internet are quite large and present significant challenges to those wishing to analyze these streams on a continuous basis. Opportunities for analysis for a Network Service Provider include understanding subscriber...

A general framework for mining massive data streams.
December 1, 2003... In many domains, data now arrive faster than we are able to mine it. To avoid wasting these data, we must switch from the traditional "one-shot" data mining approach to systems that are able to mine continuous, high-volume, open-ended data...

Computational methods for dynamic graphs.
December 1, 2003... This article considers problems that can be characterized by large dynamic graphs. Communication networks provide the prototypical example of such problems where nodes in the graph are network IDs and the edges represent communication between...