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Session Topics |
Simulation Environments for Economic Modeling
Friedrich Leisch, Andreas Weingessel
We are part of the center of excellence (short in Austrian: SFB) ``Adaptive
Modelling in Economics and Management Science''. One of the long-term goals
of the SFB is to create a model for an artificial economy, where adaptive
models can be tested. Our group is currently working on a marketing simulation
(using R), another group has a virtual stock market (using matlab) etc.
The current plan is that some of these components will be connected in
the future, e.g., to connect a marketing simulation with a production simulation.
For this artificial economy to work we will need a lot of distributed computing,
because the involved groups use rather heterogenous platforms/software.
Another advantage of distributed sytems is that they are much closer to
reality than a big homogenous simulation.
Download postscript file of slides.
Redesign of XLispStat
Luke Tierney
An update on the redesign of xlispstat, which is based on designing
a core that can be implemented on top of C or Java and can be used as the
base for xlispstat or R or Omega.
Download postscript file of slides.
Design of functions and objects
Jim Lindsey
Here are some ideas about topics I could discuss:
1. Developing functions for nonlinear, non-normal, multivariate models.
2. Designing objects for handling unbalanced repeated measurements
allowing for various types of response variables (continuous, categorical,
event history).
Download postscript files of slides:
part 1,
part 2,
Spreadsheet interfaces for economic applications
Erich Neuwirth
The only ``statistical'' packages economic students or many people
from indusrty know are spreadsheets, hence having good interactions between
spreadsheets and ``real'' statistics software would be beneficient both
in teaching statistics as in many consulting jobs.
Connected Teaching of Statistics
Wolfgang Härdle, Sigbert Klinke
Statistics is considered to be a difficult science since it requires
a variety of skills including handling of quantitative data, graphical
insights as well as mathematical ability. Yet ever increasing special knowledge
of statistics is demanded since data of increasing complexity and size
need to be understood and analyzed. Although this changing demand on educated
statisticians is visible, our methods of teaching statistics follow essentially
the ideas developed by our grandfathers in the fifties. An attractive and
powerful new way of incorporating today's and future demands is via tools
based on an intra- or the internet. In this article we suggest a set of
criteria for effective web based teaching and propose the first net based
approach to meet these criteria.
Download powerpoint file of slides.
Future directions for statistical modeling software
Doug Bates, John Chambers, Duncan Temple Lang
Participants in the Omega project and others would like to encourage
discussion about the next generation of software that deals with statistical
models: What new capabilities are important? How can current languages
and tools (e.g., Java) help? In this session, participants are invited
to present ideas and suggestions. There is also a mailing list, omega-models@omegahat.org,
intended to be a forum for similar discussions.
View HTML version of slides.
(Possibly graphical) user interfaces
Anthony Rossini
I'm interested in talking/discussing a bit about ORCA (a "universal"
graphical front-end for stat packages), and other (possibly graphical)
user interface issues...
A Graphics library for Omega
Balasubramanian Narasimhan
Architecture, design and implementation of a Graphics library for Omega.
This talk will rely heavily on the new release of Java 1.2.
Interfaces between existing statistical systems and Java/Omega
John Chambers
There are many ways to design interfaces between statistical systems.
Java provides several attractive possibilities. We have been investigating
interfaces built on the tools in the preliminary Omega language and on
the Java Native Interface. We will discuss the progress to date and possible
further directions.
Download postscript file of slides.
Things I think we did right, things I think we did wrong, and things
I'm not sure about.
Ross Ihaka
Current quirks, an R (and S) wishlist
Peter Dalgaard
Download postscript file of slides.
R 2do list
Kurt Hornik
Numerical Accuracy in a Statistics Package: What Precision is Needed
When ?
Martin Mächler
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Building GUIs for S-PLUS for Windows vertical applications
Brian Ripley
S-PLUS for Windows already allows a number of GUI connections, within
a Windows-only environment. It has a programmable GUI interface of its
own, and can interact with other Windows applications (such as spreadsheets)
through `DDE' and `Automation'. We are currently building such interfaces
to a cancer prognosis system for use with a laptop in an Oxford hospital.
Hence, the experience gained in the simulation should be useful for devloping
new concepts of information flow (data exchange) and data analysis in real
life.
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postcript or
PDF
Towards an R manual
Friedrich Leisch
Future of R
What are our goals for the future, how does this relate to projects
like Omega etc.
Directions for Statistical Systems
John Chambers
Download postscript file of slides.
Visualization and Pattern Recognition in Complex Datasets
Brian Ripley
Distributed Computing in the SFB
Friedrich Leisch, Andreas Weingessel
Download PDF file of slides.
Lexical Scoping with R
Robert Gentleman
Random Number Generation for Parallel and Threaded Programs
Gregory Warnes
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postcript or
PDF
Download C code.
Interactive Modeling
Stephan Lauer
Download postscript file of slides.
A Local Estimatio Approach in Multi-Categorical
Varying-Coefficient Models
Silke Edlich
Download postscript file of slides.